Some of the systems used in natural language generation (NLG), a branch of applied computational linguistics, have the capacity to create or assemble somewhat original messages adapted to new contexts. In this paper, taking Bernard Williams’ account of assertion by machines as a starting point, I argue that NLG systems meet the criteria for being speech actants to a substantial degree. They are capable of authoring original messages, and can even simulate illocutionary force and speaker meaning. Background intelligence embedded (...) in their datasets enhances these speech capacities. Although there is an open question about who is ultimately responsible for their speech, if anybody, we can settle this question by using the notion of proxy speech, in which responsibility for artificial speech acts is assigned legally or conventionally to an entity separate from the speech actant. (shrink)

Some empirical evidence in the artificial language acquisition literature has been taken to suggest that statistical learning mechanisms are insufficient for extracting structural information from an artificial language. According to the more than one mechanism (MOM) hypothesis, at least two mechanisms are required in order to acquire language from speech: (a) a statistical mechanism for speech segmentation; and (b) an additional rule-following mechanism in order to induce grammatical regularities. In this article, we present a set of (...) neural network studies demonstrating that a single statistical mechanism can mimic the apparent discovery of structural regularities, beyond the segmentation of speech. We argue that our results undermine one argument for the MOM hypothesis. (shrink)

Inner speech travels under many aliases: the inner voice, verbal thought, thinking in words, internal verbalization, “talking in your head,” the “little voice in the head,” and so on. It is both a familiar element of first-person experience and a psychological phenomenon whose complex cognitive components and distributed neural bases are increasingly well understood. There is evidence that inner speech plays a variety of cognitive roles, from enabling abstract thought, to supporting metacognition, memory, and executive function. One active (...) area of controversy concerns the relation of inner speech to auditory verbal hallucinations in schizophrenia, with a common proposal being that sufferers of AVH misidentify their own inner speech as being generated by someone else. Recently, researchers have used artificial intelligence to translate the neural and neuromuscular signatures of inner speech into corresponding outer speech signals, laying the groundwork for a variety of new applications and interventions. (shrink)

Speech acts are a staple of everyday communicative life, but only became a topic of sustained investigation, at least in the English-speaking world, in the middle of the Twentieth Century.[1] Since that time “speech act theory” has been influential not only within philosophy, but also in linguistics, psychology, legal theory, artificial intelligence, literary theory and many other scholarly disciplines.[2] Recognition of the importance of speech acts has illuminated the ability of language to do other things than (...) describe reality. In the process the boundaries among the philosophy of language, the philosophy of action, the philosophy of mind and even ethics have become less sharp. In addition, an appreciation of speech acts has helped lay bare an implicit normative structure within linguistic practice, including even that part of this practice concerned with describing reality. Much recent research aims at an accurate characterization of this normative structure underlying linguistic practice. (shrink)

The development of the mind follows the path of biological evolution towards the accumulation and transmission of information with increasing efficiency. In addition to the cognitive constants of speech (Solntsev, 1974), which greatly improved the transmission of information, people have created computing devices, from the abacus to the quantum computer. The capabilities of computers classified as artificial intelligence are developing at a rapid pace. However, at the present stage, artificial intelligence (AI) lacks an emotion module, and this (...) makes AI fundamentally different from human intelligence, since the life of the mind in humans cannot be separated from their feelings (Damasio, 2010; Panksepp, 1997). Consciousness itself is formed through the sensory and motor systems, that is, it is embodied (Foglia & Wilson, 2013), which means that our mental life is inseparable from our sensory motor experience (Wellsby & Pexman, 2014). Evolutionarily, our minds rely on ancient survival mechanisms that influence our decisions and choices. Hence, for example, the question whether the choice of Artificial Intelligence will always be favorable for humanity. (shrink)

The use of human language is a hallmark of human consciousness, even when it is not used publicly. Inner speech is the way humans consciously communicate with themselves and arguably a key factor contributing to the formation of more self-aware selves. From the perspective of cognitive science and artificial cognitive architectures, inner speech can be also seen as a meta-management system that modulates some cognitive processes of the subject. In this paper, we describe a preliminary version of (...) a computational model of inner speech generation based on the cognitive architecture CERA-CRANIUM. This inner speech generation method is illustrated using a video game non-player character as the subject of the first-person narratives to be produced. We also use this model of inner speech generation to discuss the possibilities of using such a first-person narrative stream as a meta-control input to the artificial cognitive architecture. We argue that this verbal input might be used as an integrated self-explanation of the agent in the world and thus contribute to the formation of self. (shrink)

This article is a critical genealogy of Tay, an artificial-intelligence chatbot that Microsoft released on Twitter in 2016, which was quickly hijacked by internet trolls to reproduce racist, misogynist, and antisemitic language. Tay’s repetition and production of hate speech calls for an approach that draws on both media and cultural theory—the Frankfurt School’s dialectical analyses of language and ideology, in particular. Revisiting the Frankfurt School in the age of algorithmic reason shows that, contrary to views foundational to computing, (...) a neural-network chatbot like Tay does not sidestep meaning but rather carries and alters it, with unforeseen social and political consequences. A return to the work of Max Horkheimer and Theodor W. Adorno thus locates ideology in the digital world at the nexus of language’s ability to mean, language and meaning’s susceptibility to computation, and the design of a machine to compute both. Coming to critical terms with the antisemitism produced in Tay’s human-computer synthesis requires, as this article contends, addressing the uncanny embodiment and reflection of thought that is digital computation. (shrink)

This paper offers a biosemiotic account of the poetic aspects of gesture and speech in schizophrenia. The argument is that speech and gesture are not the mere expression of pre-verbal thoughts. Instead, meaning is enacted by the temporal and semantic coordination of speech and gesture. The bodily basis of language is highlighted by the fact that, failing to create language that is organized around topics, individuals with schizophrenia often rely on poetic associations in directing their utterances. Accordingly, (...) the analysis of schizophrenic speech and gesture based on McNeill’s Growth Point theory is enriched with reference to both Cowley’s (2007b) views on language as distributed social coordination, and Alexander’s (Biosemiotics 2(1):77–100, 2009) description of formal causes in nature. Schizophrenic language can be seen as a hypertrophied manifestation of the discourse-scaffolding function of poetic associations in speech and gesture. The analysis of schizophrenic language shows that language behavior need not be built on pre-verbal thoughts and important aspects of schizophrenic language, such as metalinguistic awareness and semiotic agency, can be clarified by applying concepts from biosemiotics. (shrink)

The age of artificial intelligence (AI) is upon us, and its effect upon society in the coming years will be noteworthy. Artificial intelligence is a field that encompasses such applications as robotics, expert systems, natural language understanding, speech recognition, and computer vision. The effect of these AI systems upon existing and future job occupations will be important. This paper takes a look at artificial intelligence in terms of the creation of new job categories. Also, the introduction (...) of AI into the organization to better familiarize the employees about AI will be discussed. (shrink)

In November 2022, OpenAI released ChatGPT, an incredibly sophisticated chatbot. Its capability is astonishing: as well as conversing with human interlocutors, it can answer questions about history, explain almost anything you might think to ask it, and write poetry. This level of achievement has provoked interest in questions about whether a chatbot might have something similar to human intelligence or even consciousness. Given that the function of a chatbot is to process linguistic input and produce linguistic output, we consider the (...) question whether a sophisticated chatbot might have inner speech. That is: Might it talk to itself, internally? We explored this via a conversation with ‘Playground’, a chatbot which is very similar to ChatGPT but more flexible in certain respects. We asked it questions which, plausibly, can only be answered if one first produces some inner speech. Here, we present our findings and discuss their philosophical significance. (shrink)

The primary units of meaning in the use and comprehension of language are speech acts of the type called illocutionary acts. In Foundations of Illocutionary Logic John Searle and Daniel Vanderveken presented the first formalized logic of a general theory of speech acts. In Meaning and Speech Acts Daniel Vanderveken further develops the logic of speech acts and the logic of propositions to construct a general semantic theory of natural languages. Volume I, Principles of Language Use, (...) explains the general principles that connect meaning, reason, thought and speech acts in the semantic structure of language. It presupposes no detailed knowledge of logical formalism, and will be accessible to a large readership of students and scholars from philosophy, lingustics, cognitive psychology and computer science. Volume II, Formal Semantics of Success and Satisfaction uses the resources of philosophical and mathematical logics to develop a formalization of the laws of the semantic theory advanced in Volume I. It will be of interest to theoretical linguists and those involved in mathematical logic and artificial intelligence. (shrink)

The development of the mind follows the path of biological evolution towards the accumulation and transmission of information with increasing efficiency. In addition to the cognitive constants of speech (Solntsev, 1974), which greatly improved the transmission of information, people have created computing devices, from the abacus to the quantum computer. The capabilities of computers classified as artificial intelligence are developing at a rapid pace. However, at the present stage, artificial intelligence (AI) lacks an emotion module, and this (...) makes AI fundamentally different from human intelligence, since the life of the mind in humans cannot be separated from their feelings (Damasio, 2010; Panksepp, 1997). Consciousness itself is formed through the sensory and motor systems, that is, it is embodied (Foglia & Wilson, 2013), which means that our mental life is inseparable from our sensory motor experience (Wellsby & Pexman, 2014). Evolutionarily, our minds rely on ancient survival mechanisms that influence our decisions and choices. Hence, for example, the question whether the choice of Artificial Intelligence will always be favorable for humanity. (shrink)

Developmental dyslexia is considered to be most effectively addressed with preventive phonics-based interventions, including grapheme-phoneme coupling and blending exercises. These intervention types require intact speech perception abilities, given their large focus on exercises with auditorily presented phonemes. Yet some children with dyslexia experience problems in this domain due to a poorer sensitivity to rise times, i.e., rhythmic acoustic cues present in the speech envelope. As a result, the often subtle speech perception problems could potentially constrain an optimal (...) response to phonics-based interventions in at-risk children. The current study therefore aimed to extend existing research by examining the presence of potential speech perception deficits in pre-readers at cognitive risk for dyslexia when compared to typically developing peers and to explore the added value of a preventive auditory intervention for at-risk pre-readers, targeting rise time sensitivity, on speech perception and other reading-related skills. To obtain the first research objective, we longitudinally compared speech-in-noise perception between 28 5-year-old pre-readers with and 30 peers without a cognitive risk for dyslexia during the second half of the third year of kindergarten. The second research objective was addressed by exploring growth in speech perception and other reading-related skills in an independent sample of 62 at-risk 5-year-old pre-readers who all combined a 12-week preventive phonics-based intervention with an auditory story listening intervention. In half of the sample, story recordings contained artificially enhanced rise times, while in the other half, stories remained unprocessed. Results revealed a slower speech-in-noise perception growth in the at-risk compared to the non-at-risk group, due to an emerged deficit at the end of kindergarten. Concerning the auditory intervention effects, both intervention groups showed equal growth in speech-in-noise perception and other reading-related skills, suggesting no boost of envelope-enhanced story listening on top of the effect of combining GraphoGame-Flemish with listening to unprocessed stories. These findings thus provide evidence for a link between speech perception problems and dyslexia, yet do not support the potential of the auditory intervention in its current form. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Unmastering Speech:Irony in Plato's PhaedrusMatthew S. Linck"So, my shall suffer what it deserves."—Phaedrus 242a1It is tempting, after one has reflected closely on the words and deeds of the Phaedrus, to read the dialogue as if Socrates had the whole conversation worked out from the first words. The art of Plato is such that the intricate cohesion of word and action reveals itself through many layers. Plato writes; and (...) as a writer he has the time and the means (written letters) to compose. But what is Socrates doing? He does not have the leisure to compose "over a long period of time" (228a). He is responding to particular individuals, in particular circumstances, in the moment. He is thinking on his feet. One might claim that this is actually the first deficiency of the dialogues, that they are artificial and unrealistic in this way. If the written text reveals itself as finely crafted in the subtlety of its inner connections, how seriously can we take the apparent spontaneity of the spoken discourse? My suggestion would be that we take this not as a fault of the dialogues, but rather as the first instance of Plato's irony. This may be Plato's supreme irony—the evocation of truth through artificiality.But that is already going too fast. I want to begin by looking at the words and deeds of Socrates and Phaedrus, without considering yet what Plato might be doing as the author of the dialogue. My first interpretive principle will be to take the drama at face value, as naturalistic, temporal, and even commonplace—two friends go for a walk in the countryside to listen to speeches.Immediately, however, the commonness is disrupted. The city, the commonwealth, is left behind. This is certainly uncommon for Socrates, who never leaves the city walls.2 Furthermore, the language of the text indicates a thematization of, out-of-placeness, strangeness. Rather than being accused of already violating my one hermeneutical principle, it should be noted that this indication of strangeness comes through the words [End Page 264] and deeds of the characters, not through a retrospective recovery of the dialogue as a whole. From the beginning the reader encounters a tension between the commonplace and the unusual.3Nevertheless, the impetus to move outside of the city is commonplace enough. Phaedrus has a speech that Socrates wants to hear. Before Socrates is told what this speech is about, he indicates that nothing would please him more than "hearing how you [Phaedrus] and Lysias passed the time" (227b). After Phaedrus, in his excitement, gives away the topic of the speech—"an attempted seduction of a handsome boy—but not by a lover!" (227c)—Socrates seems even more eager to hear the speech. Does Socrates already see what is to come? Is he merely excited to hear a speech, or is he excited about challenging the beautiful Phaedrus' excitement about a speech that defends an unworthy principle—"that one should gratify the one who does not love rather than the one who does" (227c)?After leaving the city and finding a comfortable place for their speech, for, Phaedrus reads his copy of Lysias' speech for Socrates. The gist of Lysias' speech, as Phaedrus has already announced, is that a young lover should associate himself with, and gratify, a non-lover rather than one who is in love. One central theme of the speech, which will be important for thinking about irony, is that of self-mastery. The recurring motif in Lysias' speech is that the lover is not in control of himself, while the non-lover is. Therefore (the non-lover argues) associating with a lover is unpredictable, and will most likely result in harm to the beloved. The non-lover claims that his self-control will prevent and preclude unforeseen harm. This slippage, from self-mastery to mastery of the situation, is decisive. We would be wrong to interpret Socrates' two speeches as wholesale rejections of everything in Lysias' speech. Socrates cannot reject self-control outright. His consistent concern with rules out simply espousing lack of control. Yet the measuredness of Socratic practice does not entail the... (shrink)

In recent years, artificial intelligence has made significant progress, leading to a wide variety of applications, such as speech recognition, product recommendations, language translation, and many other applications. Although gender equality and artificial intelligence can be considered separate fields, they are closely related and mutually influence each other. The purpose of this paper is to outline various aspects of relationship between gender equality and artificial intelligence, to identify interrelationship between them, and to present challenges and possible (...) solutions to problems arising from their connection. This text will present the issue of gender equality in the development of artificial intelligence, but also the impact of artificial intelligence on gender equality; challenges and possible solutions, successful examples and case studies, legislation and policies supporting gender balance in artificial intelligence, the impact of gender equality on quality and innovation in artificial intelligence; the future of dynamics of development of relationship of gender equality and artificial intelligence. (shrink)

The primary units of meaning in the use and comprehension of language are speech acts of the type called illocutionary acts. In Foundations of Illocutionary Logic John Searle and Daniel Vanderveken presented the first formalized logic of a general theory of speech acts. In Meaning and Speech Acts Daniel Vanderveken further develops the logic of speech acts and the logic of propositions to construct a general semantic theory of natural languages. Volume I, Principles of Language Use, (...) explains the general principles that connect meaning, reason, thought and speech acts in the semantic structure of language. It presupposes no detailed knowledge of logical formalism, and will be accessible to a large readership of students and scholars from philosophy, lingustics, cognitive psychology and computer science. Volume II, Formal Semantics of Success and Satisfaction uses the resources of philosophical and mathematical logics to develop a formalization of the laws of the semantic theory advanced in Volume I. It will be of interest to theoretical linguists and those involved in mathematical logic and artificial intelligence. (shrink)

In order to improve the efficiency of the English translation, machine translation is gradually and widely used. This study briefly introduces the neural network algorithm for speech recognition. Long short-term memory (LSTM), instead of traditional recurrent neural network (RNN), was used as the encoding algorithm for the encoder, and RNN as the decoding algorithm for the decoder. Then, simulation experiments were carried out on the machine translation algorithm, and it was compared with two other machine translation algorithms. The results (...) showed that the back-propagation (BP) neural network had a lower word error rate and spent less recognition time than artificial recognition in recognizing the speech; the LSTM–RNN algorithm had a lower word error rate than BP–RNN and RNN–RNN algorithms in recognizing the test samples. In the actual speech translation test, as the length of speech increased, the LSTM–RNN algorithm had the least changes in the translation score and word error rate, and it had the highest translation score and the lowest word error rate under the same speech length. (shrink)

The Use of Ulster Speech by Michael Longley and Tom Paulin The article examines the application and exploration of Ulster dialects in the work of two poets of Northern Irish Protestant background, Tom Paulin and Michael Longley. It depicts Paulin's attitude to the past and the present of their community of origin, the former positive and the latter negative, which is responsible for the ambiguities in his use of and his comments on the local speech. Both poets employ (...) the vernacular to refer to their immediate context, i.e. the conflict in Ulster, and in this respect linguistic difference comes to be associated with violence. Yet another vital element of their exploration of the dialect is its link to their origins, home and the intimacy it evokes, which offers a contrary perspective on the issue of languages and makes their approach equivocal. This context in Paulin's poetry is further enriched with allusions to or open discussion of the United Irishmen ideal and the international Protestant experience, and with his reworking of ancient Greek myth and tragedy, while in Longley's poetry it is set in the framework of "translations" from Homer which, strangely enough, transport the reader to contemporary Ireland. While Longley in his comments relates the dialect to his personal experience, Paulin seems to situate it in a vaster network of social and political concepts that he has developed in connection with language, which in Ireland has never seemed a neutral phenomenon detached from historical and political implications. Longley's use of local speech is seldom discussed by critics; Paulin's, on the contrary, has stirred diverse reactions and controversies. The article investigates some of these critical views chiefly concerned with the alleged artificiality of his use of local words and with his politicizing the dialects. Performing the analysis of his poems and essays, the article argues for Paulin's "consistency in inconsistency," i.e. the fact that his application of dialectal words reflects his love-hate attitude to his community of origin, and that in the clash of two realities, of the conflict and of home, his stance and literary practice is not far from Longley's, which has been regarded as quite neutral as one can infer from the lack of critical controversy about it. The voices of the two poets and their use of local speech provide a crucial insight into the Northern Irish reality with all its intricacy and paradox. (shrink)

This article sets in with the question whether current or foreseeable transformer-based large language models (LLMs), such as the ones powering OpenAI’s ChatGPT, could be language users in a way comparable to humans. It answers the question negatively, presenting the following argument. Apart from niche uses, to use language means to act. But LLMs are unable to act because they lack intentions. This, in turn, is because they are the wrong kind of being: agents with intentions need to be autonomous (...) organisms while LLMs are heteronomous mechanisms. To conclude, the article argues, based on structural aspects of transformer-based LLMs, that these LLMs have taken a first step away from mechanistic artificiality to autonomous self-constitution, which means that these models are (slowly) moving into a direction that someday might result in non-human, but equally non-artificial agents, thus subverting the time-honored Kantian distinction between organism and mechanism. (shrink)

This study investigates the joint influences of three factors on the discovery of new word‐like units in a continuous artificial speech stream: the statistical structure of the ongoing input, the initial word‐likeness of parts of the speech flow, and the contextual information provided by the earlier emergence of other word‐like units. Results of an experiment conducted with adult participants show that these sources of information have strong and interactive influences on word discovery. The authors then examine the (...) ability of different models of word segmentation to account for these results. PARSER (Perruchet & Vinter, 1998) is compared to the view that word segmentation relies on the exploitation of transitional probabilities between successive syllables, and with the models based on the Minimum Description Length principle, such as INCDROP. The authors submit arguments suggesting that PARSER has the advantage of accounting for the whole pattern of data without ad‐hoc modifications, while relying exclusively on general‐purpose learning principles. This study strengthens the growing notion that nonspecific cognitive processes, mainly based on associative learning and memory principles, are able to account for a larger part of early language acquisition than previously assumed. (shrink)

The article examines the application and exploration of Ulster dialects in the work of two poets of Northern Irish Protestant background, Tom Paulin and Michael Longley. It depicts Paulin's attitude to the past and the present of their community of origin, the former positive and the latter negative, which is responsible for the ambiguities in his use of and his comments on the local speech. Both poets employ the vernacular to refer to their immediate context, i.e. the conflict in (...) Ulster, and in this respect linguistic difference comes to be associated with violence. Yet another vital element of their exploration of the dialect is its link to their origins, home and the intimacy it evokes, which offers a contrary perspective on the issue of languages and makes their approach equivocal. This context in Paulin's poetry is further enriched with allusions to or open discussion of the United Irishmen ideal and the international Protestant experience, and with his reworking of ancient Greek myth and tragedy, while in Longley's poetry it is set in the framework of "translations" from Homer which, strangely enough, transport the reader to contemporary Ireland. While Longley in his comments relates the dialect to his personal experience, Paulin seems to situate it in a vaster network of social and political concepts that he has developed in connection with language, which in Ireland has never seemed a neutral phenomenon detached from historical and political implications. Longley's use of local speech is seldom discussed by critics; Paulin's, on the contrary, has stirred diverse reactions and controversies. The article investigates some of these critical views chiefly concerned with the alleged artificiality of his use of local words and with his politicizing the dialects. Performing the analysis of his poems and essays, the article argues for Paulin's "consistency in inconsistency," i.e. the fact that his application of dialectal words reflects his love-hate attitude to his community of origin, and that in the clash of two realities, of the conflict and of home, his stance and literary practice is not far from Longley's, which has been regarded as quite neutral as one can infer from the lack of critical controversy about it. The voices of the two poets and their use of local speech provide a crucial insight into the Northern Irish reality with all its intricacy and paradox. (shrink)

Saffran, Newport, and Aslin (1996a) found that human infants are sensitive to statistical regularities corresponding to lexical units when hearing an artificial spoken language. Two sorts of segmentation strategies have been proposed to account for this early word‐segmentation ability: bracketing strategies, in which infants are assumed to insert boundaries into continuous speech, and clustering strategies, in which infants are assumed to group certain speech sequences together into units (Swingley, 2005). In the present study, we test the predictions (...) of two computational models instantiating each of these strategies i.e., Serial Recurrent Networks: Elman, 1990; and Parser: Perruchet & Vinter, 1998 in an experiment where we compare the lexical and sublexical recognition performance of adults after hearing 2 or 10 min of an artificial spoken language. The results are consistent with Parser’s predictions and the clustering approach, showing that performance on words is better than performance on part‐words only after 10 min. This result suggests that word segmentation abilities are not merely due to stronger associations between sublexical units but to the emergence of stronger lexical representations during the development of speech perception processes. (shrink)

Multiple acoustic dimensions signal speech categories. However, dimensions vary in their informativeness; some are more diagnostic of category membership than others. Speech categorization reflects these dimensional regularities such that diagnostic dimensions carry more “perceptual weight” and more effectively signal category membership to native listeners. Yet perceptual weights are malleable. When short-term experience deviates from long-term language norms, such as in a foreign accent, the perceptual weight of acoustic dimensions in signaling speech category membership rapidly adjusts. The present (...) study investigated whether rapid adjustments in listeners’ perceptual weights in response to speech that deviates from the norms also affects listeners’ own speech productions. In a word recognition task, the correlation between two acoustic dimensions signaling consonant categories, fundamental frequency and voice onset time, matched the correlation typical of English, and then shifted to an “artificial accent” that reversed the relationship, and then shifted back. Brief, incidental exposure to the artificial accent caused participants to down-weight perceptual reliance on F0, consistent with previous research. Throughout the task, participants were intermittently prompted with pictures to produce these same words. In the block in which listeners heard the artificial accent with a reversed F0 × VOT correlation, F0 was a less robust cue to voicing in listeners’ own speech productions. The statistical regularities of short-term speech input affect both speech perception and production, as evidenced via shifts in how acoustic dimensions are weighted. (shrink)

The primary units of meaning in the use and comprehension of language are speech acts of the type called illocutionary acts. In Foundations of Illocutionary Logic John Searle and Daniel Vanderveken presented the first formalised logic of a general theory of speech acts. In Meaning and Speech Acts Daniel Vanderveken further develops the logic of speech acts and the logic of propositions to construct a general semantic theory of natural languages. Volume I, Principles of Language Use, (...) explains the general principles that connect meaning, reason, thought and speech acts in the semantic structure of language. It presupposes no detailed knowledge of logical formalism, and will be accessible to a large readership of students and scholars from philosophy, linguistics, cognitive psychology and computer science. Volume II, Formal Semantics of Success and Satisfaction, uses the resources of philosophical and mathematical logics to develop a formalisation of the laws of the semantic theory advanced in Volume I. It will be of interest to theoretical linguists and those involved in mathematical logic and artificial intelligence. (shrink)

In an era when much of what passes for debate is merely moral posturing--traditional family values versus the cultural elite, free speech versus censorship--or reflexive name-calling--the terms "liberal" and "politically correct," are used with as much dismissive scorn by the right as "reactionary" and "fascist" are by the left--Stanley Fish would seem an unlikely lightning rod for controversy. A renowned scholar of Milton, head of the English Department of Duke University, Fish has emerged as a brilliantly original critic of (...) the culture at large, praised and pilloried as a vigorous debunker of the pieties of both the left and right. His mission is not to win the cultural wars that preoccupy the nation's attention, but rather to redefine the terms of battle. In There's No Such Thing as Free Speech, Fish takes aim at the ideological gridlock paralyzing academic and political exchange in the nineties. In his witty, accessible dissections of the swirling controversies over multiculturalism, affirmative action, canon revision, hate speech, and legal reform, he neatly eviscerates both the conservatives' claim to possession of timeless, transcendent values, and the intellectual left's icons of equality, tolerance, and non-discrimination. He argues that while conservative ideologues and liberal stalwarts might disagree vehemently on what is essential to a culture, or to a curriculum, both mistakenly believe that what is essential can be identified apart from the accidental circumstances to which the essential is ritually opposed. In the book's first section, which includes the five essays written for Fish's celebrated debates with Dinesh D'Souza, Fish turns his attention to the neoconservative backlash. In his introduction, Fish writes, "Terms that come to us wearing the label 'apolitical'--'common values', 'fairness', 'merit', 'color blind', 'free speech', 'reason'--are in fact the ideologically charged constructions of a decidedly political agenda. I make the point not in order to level an accusation, but to remove the sting of accusation from the world 'politics' and redefine it as a synonym for what everyone inevitably does." Fish maintains that the debate over political correctness is an artificial one, because it is simply not possible for any party or individual to occupy a position above or beyond politics. Regarding the controversy over the revision of the college curriculum, Fish argues that the point is not to try to insist that inclusion of ethnic and gender studies is not a political decision, but "to point out that any alternative curriculum--say a diet of exclusively Western or European texts--would be no less politically invested." In Part Two, Fish follows the implications of his arguments to a surprising rejection of the optimistic claims of the intellectual left that awareness of the historical roots of our beliefs and biases can allow us, as individuals or as a society, to escape or transcend them. Specifically, he turns to the movement for reform of legal studies, and insists that a dream of a legal culture in which no one's values are slighted or declared peripheral can no more be realized than the dream of a concept of fairness that answers to everyone's notions of equality and jsutice, or a yardstick of merit that is true to everyone's notions of worth and substance. Similarly, he argues that attempts to politicize the study of literature are ultimately misguided, because recharacterizations of literary works have absolutely no impact on the mainstream of political life. He concludes his critique of the academy with "The Unbearable Ugliness of Volvos," an extraordinary look at some of the more puzzing, if not out-and-out masochistic, characteristics of a life in academia. Penetrating, fearless, and brilliantly argued, There's No Such Thing as Free Speech captures the essential Fish. It is must reading for anyone who cares about the outcome of America's cultural wars. (shrink)

This study investigates the influence of a robot’s speech rate. In human communication, slow speech is considered boring, speech at normal speed is perceived as credible, and fast speech is perceived as competent. To seek the appropriate speech rate for robots, we test whether these tendencies are replicated in human-robot interaction by conducting an experiment with four rates of speech: fast, normal, moderately slow, and slow. Our experimental results reveal a rather surprising trend. Participants (...) prefer normal and moderately slow speech to fast speech. A robot that provides normal or moderately slow speech is perceived as competent. We further study how context affects this perception. In a situation where the robot and participants talk while walking, we found that slow speech was the most comprehensible. In addition, slow speech is subjectively perceived as good as moderately slow and normal speech. Keywords: Human-robot interaction; speech rate. (shrink)

La logométrie et l’Intelligence artificielle (deep learning) appliquées aux textes politiques permettent de repérer dans le discours d’Emmanuel Macron les emprunts linguistiques qu’il contracte auprès de ses prédécesseurs à l’Elysée (de Gaulle, Pompidou, Giscard, Mitterrand, Chirac, Sarkozy et Hollande). Les emprunts les plus importants, lexicaux autour de la valeur travail et énonciatifs autour de l’exhibition du « je » et du « je veux », concernent statistiquement Nicolas Sarkozy.

English direct discourse is easily recognized by e.g. the lack of a complementizer, the quotation marks (or the intonational contour they induce), and verbatim (`shifted') pronouns. Japanese employs the same complementizer for all reports, does not have a consistent intonational quotation marking, and tends to drop pronouns where possible. Some have argued that this just shows many Japanese reports are ambiguous: despite the lack of explicit marking, the underlying distinction is just as hard. On the basis of a number of (...) `mixed' examples, I claim that the line between direct and indirect is blurred and I propose a unified analysis of speech reporting in which a general mechanism of mixed quotation replaces the classical two-fold distinction. (shrink)

Currently, the most used method to measure brain activity under a non-invasive procedure is the electroencephalogram (EEG). This is because of its high temporal resolution, ease of use, and safety. These signals can be used under a Brain Computer Interface (BCI) framework, which can be implemented to provide a new communication channel to people that are unable to speak due to motor disabilities or other neurological diseases. Nevertheless, EEG-based BCI systems have presented challenges to be implemented in real life situations (...) for imagined speech recognition due to the difficulty to interpret EEG signals because of their low signal-to-noise ratio (SNR). As consequence, in order to help the researcher make a wise decision when approaching this problem, we offer a review article that sums the main findings of the most relevant studies on this subject since 2009. This review focuses mainly on the pre-processing, feature extraction, and classification techniques used by several authors, as well as the target vocabulary. Furthermore, we propose ideas that may be useful for future work in order to achieve a practical application of EEG-based BCI systems toward imagined speech decoding. (shrink)

How did human vocalizations come to acquire meaning in the evolution of our species? Charles Darwin proposed that language and music originated from a common emotional signal system based on the imitation and modification of sounds in nature. This protolanguage is thought to have diverged into two separate systems, with speech prioritizing referential functionality and music prioritizing emotional functionality. However, there has never been an attempt to empirically evaluate the hypothesis that a single communication system can split into two (...) functionally distinct systems that are characterized by music- and languagelike properties. Here, we demonstrate that when referential and emotional functions are introduced into an artificial communication system, that system will diverge into vocalization forms with speech- and music-like properties, respectively. Participants heard novel vocalizations as part of a learning task. Half referred to physical entities and half functioned to communicate emotional states. Participants then reproduced each sound with the defined communicative intention in mind. Each recorded vocalization was used as the input for another participant in a serial reproduction paradigm, and this procedure was iterated to create 15 chains of five participants each. Referential vocalizations were rated as more speech-like, whereas emotional vocalizations were rated as more music-like, and this association was observed cross-culturally. In addition, a stable separation of the acoustic profiles of referential and emotional vocalizations emerged, with some attributes diverging immediately and others diverging gradually across iterations. The findings align with Darwin’s hypothesis and provide insight into the roles of biological and cultural evolution in the divergence of language and music. (shrink)

In recent years, artificial intelligence has been deployed by online platforms to prevent the upload of allegedly illegal content or to remove unwarranted expressions. These systems are trained to spot objectionable content and to remove it, block it, or filter it out before it is even uploaded. Artificial intelligence filters offer a robust approach to content moderation which is shaping the public sphere. This dramatic shift in norm setting and law enforcement is potentially game-changing for democracy. Artificial (...) intelligence filters carry censorial power, which could bypass traditional checks and balances secured by law. Their opaque and dynamic nature creates barriers to oversight, and conceals critical value choices and tradeoffs. Currently, we lack adequate tools to hold them accountable. This paper seeks to address this gap by introducing an adversarial procedure— – Contesting Algorithms. It proposes to deliberately introduce friction into the dominant removal systems governed by artificial intelligence. Algorithmic content moderation often seeks to optimize a single goal, such as removing copyright-infringing materials or blocking hate speech, while other values in the public interest, such as fair use or free speech, are often neglected. Contesting algorithms introduce an adversarial design which reflects conflicting values, and thereby may offer a check on dominant removal systems. Facilitating an adversarial intervention may promote democratic principles by keeping society in the loop. An adversarial public artificial intelligence system could enhance dynamic transparency, facilitate an alternative public articulation of social values using machine learning systems, and restore societal power to deliberate and determine social tradeoffs. (shrink)

Language and speech depend on a relatively well defined neural circuitry, located predominantly in the left hemisphere. In this article, I discuss the origin of the speech circuit in early humans, as an expansion of an auditory-vocal articulatory network that took place after the last common ancestor with the chimpanzee. I will attempt to converge this perspective with aspects of the Mirror System Hypothesis, particularly those related to the emergence of a meaningful grammar in human communication. Basically, the (...) strengthening of auditory-vocal connectivity via the arcuate fasciculus and related tracts generated an expansion of working memory capacity for vocalizations, that was key for learning complex utterances. This process was concomitant with the development of a robust interface with visual working memory, both in the dorsal and ventral streams of auditory and visual processing. This enabled the bidirectional translation of sequential codes into hierarchical visual representations, through the development of a multimodal interface between both systems. (shrink)

Arbitrary communication systems can emerge from iconic beginnings through processes of conventionalisation via interaction. Here, we explore whether this process of conventionalisation occurs with continuous, auditory signals. We conducted an artificial signalling experiment. Participants either created signals for themselves, or for a partner in a communication game. We found no evidence that the speech-like signals in our experiment became less iconic or simpler through interaction. We hypothesise that the reason for our results is that when it is difficult (...) to be iconic initially because of the constraints of the modality, then iconicity needs to emerge to enable grounding before conventionalisation can occur. Further, pressures for discrimination, caused by the expanding meaning space in our study, may cause more complexity to emerge, again as a result of the restrictive signalling modality. Our findings have possible implications for the processes of conventionalisation possible in signed and spoken languages, as the spoken modality is more restrictive than the manual modality. (shrink)

In the process of communication between people, everyone will have emotions, and different emotions will have different effects on communication. With the help of external performance information accompanied by emotional expression, such as emotional speech signals or facial expressions, people can easily communicate with each other and understand each other. Emotion recognition is an important network of affective computers and research centers for signal processing, pattern detection, artificial intelligence, and human-computer interaction. Emotions convey important information in human communication (...) and communication. Since the end of the last century, people have started the research on emotion recognition, especially how to correctly judge the emotion type has invested a lot of time and energy. In this paper, multi-modal emotion recognition is introduced to recognize facial expressions and speech, and conduct research on adaptive higher education management. Language and expression are the most direct ways for people to express their emotions. After obtaining the framework of the dual-modal emotion recognition system, the BOW model is used to identify the characteristic movement of local areas or key points. The recognition rates of emotion recognition for 1,000 audios of anger, disgust, fear, happiness, sadness and surprise are: 97.3, 83.75, 64.87, 89.87, 84.12, and 86.68%, respectively. (shrink)

It has been proposed that the design of robots might benefit from interactions that are similar to caregiver–child interactions, which is tailored to children’s respective capacities to a high degree. However, so far little is known about how people adapt their tutoring behaviour to robots and whether robots can evoke input that is similar to child-directed interaction. The paper presents detailed analyses of speakers’ linguistic behaviour and non-linguistic behaviour, such as action demonstration, in two comparable situations: In one experiment, parents (...) described and explained to their nonverbal infants the use of certain everyday objects; in the other experiment, participants tutored a simulated robot on the same objects. The results, which show considerable differences between the two situations on almost all measures, are discussed in the light of the computer-as-social-actor paradigm and the register hypothesis. Keywords: child-directed speech ; motherese; robotese; motionese; register theory; social communication; human–robot interaction ; computers-as-social-actors; mindless transfer. (shrink)

Integrated design of financial self-service terminal based on artificial intelligence voice interaction with the rapid development of science and technology, artificial intelligence technology is deepening in the field of intelligence and automation. The financial industry is the lifeblood of a country’s economy, with great growth potential and high growth rate. The integrated design of intelligent financial self-service terminal has become an important topic in the field of rapid development of social economy and science and technology. Therefore, this paper (...) designs the integration of financial self-service terminal based on artificial intelligence voice interaction. First, this paper introduces the meaning and composition of financial self-service terminal integration, then studies the voice interaction principle based on artificial intelligence technology, and designs the integrated structure of financial self-service terminal with voice interaction. After that, this paper makes a series of tests on voice interaction technology, user experience, and the performance of financial self-service terminal. Finally, the test results of voice interaction are as follows: the delay estimation results of voice interaction of the terminal are relatively accurate, and the error points are basically within five sampling points, which indicate that the delay estimation algorithm is practical. The endpoint detection method based on CO complexity can effectively overcome the impact of noise environment on speech endpoint detection system and is suitable for the requirements of robust speech recognition system. Considering that the actual application scenario of voice positioning can judge the speaker’s position and turn to the speaker’s direction during human–computer interaction, the azimuth error is acceptable within a few degrees to meet the application requirements. The direction angle error is acceptable within a few degrees to meet the application requirements. The accuracy of the improved algorithm is improved in intercepting effective speech signals. The terminal has short running time and delay time, small memory, and central processing unit occupation and can meet the needs of users. The speech recognition accuracy of the financial self-service terminal basically reaches more than 80%, which can basically meet the daily needs. (shrink)

Acoustical changes in the prosody of mothers’ speech to infants are distinct and near universal. However, less is known about the visible properties of mothers’ infant-directed speech, and their relation to speech acoustics. Mothers’ head movements were tracked as they interacted with their infants using ID speech, and compared to movements accompanying their adult-directed speech. Movement measures along three dimensions of head translation, and three axes of head rotation were calculated. Overall, more head movement was (...) found for ID than AD speech, suggesting that mothers exaggerate their visual prosody in a manner analogous to the acoustical exaggerations in their speech. Regression analyses examined the relation between changing head position and changing acoustical pitch over time. Head movements and voice pitch were more strongly related in ID speech than in AD speech. When these relations were examined across time windows of different durations, stronger relations were observed for shorter time windows. However, the particular form of these more local relations did not extend or generalize to longer time windows. This suggests that the multimodal correspondences in speech prosody are variable in form, and occur within limited time spans. (shrink)

The Frame/Content theory deals with how and why the first language evolved the present-day speech mode of programming syllable “Frame” structures with segmental “Content” elements. The first words are considered, for biomechanical reasons, to have had the simple syllable frame structures of pre-speech babbling, and were perhaps parental terms, generated within the parent–infant dyad. Although all gestural origins theories have iconicity as a plausible alternative hypothesis for the origin of the meaning-signal link for words, they all share the (...) problems of how and why a fully fledged sign language, necessarily involving a structured phonology, changed to a spoken language. (shrink)

The traditional view of symbol grounding seeks to connect an a priori internal representation or ‘form’ to its external referent. But such a ‘form’ is usually itself systematically composed out of more primitive parts, so this view ignores its grounding in the physics of the world. Some previous work simulating multiple talking/listening agents has effectively taken this stance, and shown how a shared discrete speech code can emerge. Taking the earlier work of Oudeyer, we have extended his model to (...) include a dispersive force intended to account broadly for a speaker’s motivation to increase auditory distinctiveness. New simulations show that vowel systems result that are more representative of the range seen in human languages. These simulations make many profound abstractions and assumptions. Relaxing these by including more physically and physiologically realistic mechanisms for talking and listening is seen as the key to replicating more complex and dynamic aspects of speech, such as consonant-vowel patterning. (shrink)