Evolution Of Human Language Research Articles

Human language evolution: a view from theoretical linguistics on how syntax and the lexicon first came into being

Human language is a multi-componential function comprising several sub-functions each of which may have evolved in other species independently of language. Among them, two sub-functions, or modules, have been claimed to be truly unique to the humans, namely hierarchical syntax (known as “Merge” in linguistics) and the “lexicon.” This kind of species-specificity stands as a hindrance to our natural understanding of human language evolution. Here we challenge this issue and advance our hypotheses on how human syntax and lexicon may have evolved from pre-existing cognitive capacities in our ancestors and other species including but not limited to nonhuman primates. Specifically, we argue that Merge evolved from motor action planning, and that the human lexicon with the distinction between lexical and functional categories evolved from its predecessors found in animal cognition through a process we call “disintegration.” We build our arguments on recent developments in generative grammar but crucially depart from some of its core ideas by borrowing insights from other relevant disciplines. Most importantly, we maintain that every sub-function of human language keeps evolutionary continuity with other species’ cognitive capacities and reject a saltational emergence of language in favor of its gradual evolution. By doing so, we aim to offer a firm theoretical background on which a promising scenario of language evolution can be constructed.

New Media Semiotics and the Rise of Universal Symbolic Language: Digital Natives’ Perspective Amidst Covid-19

Speech is cultural identity. This peculiarity is challenged by symbolic media languages such as emoticons, emojis, memes, and diacritical computer symbols. The distinction between language and universal phonological dialect among digital natives is related by their specific use of computer symbols in media communication. Consequently, a new modality of linguistic processes is emerging, which demolishes the barriers of distinct languages. The research used the Semiotic Theory and tested 267 adolescents aged 15 to 20 years. Data were collected via a quasi-structured questionnaire, purpose and snowball sampling, 95% confidence level. The results indicated semiotics as a significant communication function for digital natives. It draws themes and concluded that, despite its preponderance in communication, semiotics does not challenge to formal writing. Important majority n=133, SD=12.03 indicated that semiotics may become global language. This study shows that humanity is increasingly rallying to the use of a common language by symbols, as before the emergence of distinctive expression. This area is of importance to researchers and policy makers in a single human language evolution.

The prehistory of speech and language is revealed in brain damage.

The aim of this paper is to develop further the idea that symptoms that emerge in speech and language processing following brain damage can make a contribution to discussions of the early evolution of language. These diverse impairments are called aphasia, and this paper proposes that the recovery of a non-fluent aphasia syndrome following stroke could provide insights into the course of the pre-history of human language evolution. The observable symptoms emerge during recovery, crucially enabled by (dis)inhibition in parallel with a range of impairments in action processing (apraxias), including apraxia of speech. They are underpinned by changes in cortical and subcortical status following brain damage. It is proposed that the observed recovery mimics ontogenic and phylogenic processes in human speech and language. The arguments put forward provide insights tending to support the motor-gestural model of speech and language evolution. This article is part of the theme issue 'Reconstructing prehistoric languages'.

Why Are No Animal Communication Systems Simple Languages?

Individuals of some animal species have been taught simple versions of human language despite their natural communication systems failing to rise to the level of a simple language. How is it, then, that some animals can master a version of language, yet none of them deploy this capacity in their own communication system? I first examine the key design features that are often used to evaluate language-like properties of natural animal communication systems. I then consider one candidate animal system, bird song, because it has several of the key design features or their precursors, including social learning and cultural transmission of their vocal signals. I conclude that although bird song communication is nuanced and complex, and has the acoustic potential for productivity, it is not productive – it cannot be used to say many different things. Finally, I discuss the debate over whether animal communication should be viewed as a cooperative information transmission process, as we typically view human language, or as a competitive process where signaler and receiver vie for control. The debate points to a necessary condition for the evolution of a simple language that has generally been overlooked: the degree of to which the interests of the signaler and receiver align. While strong cognitive and signal production mechanisms are necessary pre-adaptations for a simple language, they are not sufficient. Also necessary is the existence of identical or near-identical interests of signaler and receiver and a socio-ecology that requires high-level cooperation across a range of contexts. In the case of our hominid ancestors, these contexts included hunting, gathering, child care and, perhaps, warfare. I argue that the key condition for the evolution of human language was the extreme interdependency that existed among unrelated individuals in the hunter-gatherer societies of our hominid ancestors. This extreme interdependency produced multiple prosocial adaptations for effective intragroup cooperation, which in partnership with advanced cognitive abilities, set the stage for the evolution of language.

Neologisms are epidemic: Modeling the life cycle of neologisms in China 2008-2016.

This paper adopts models from epidemiology to account for the development and decline of neologisms based on internet usage. The research design focuses on the issue of whether a host-driven epidemic model is well-suited to explain human behavior regarding neologisms. We extracted the search frequency data from Google Trends that covers the ninety most influential Chinese neologisms from 2008-2016 and found that the majority of them possess a similar rapidly rising-decaying pattern. The epidemic model is utilized to fit the evolution of these internet-based neologisms. The epidemic model not only has good fitting performance to model the pattern of rapid growth, but also is able to predict the peak point in the neologism’s life cycle. This result underlines the role of human agents in the life cycle of neologisms and supports the macro-theory that the evolution of human languages mirrors the biological evolution of human beings.

Comparative Functional Anatomy of Marmoset Brains.

Marmosets and closely related tamarins have become popular models for understanding aspects of human brain organization and function because they are small, reproduce and mature rapidly, and have few cortical fissures so that more cortex is visible and accessible on the surface. They are well suited for studies of development and aging. Because marmosets are highly social primates with extensive vocal communication, marmoset studies can inform theories of the evolution of language in humans. Most importantly, marmosets share basic features of major sensory and motor systems with other primates, including those of macaque monkeys and humans with larger and more complex brains. The early stages of sensory processing, including subcortical nuclei and several cortical levels for the visual, auditory, somatosensory, and motor systems, are highly similar across primates, and thus results from marmosets are relevant for making inferences about how these systems are organized and function in humans. Nevertheless, the structures in these systems are not identical across primate species, and homologous structures are much bigger and therefore function somewhat differently in human brains. In particular, the large human brain has more cortical areas that add to the complexity of information processing and storage, as well as decision-making, while making new abilities possible, such as language. Thus, inferences about human brains based on studies on marmoset brains alone should be made with a bit of caution.

Hemispheric Specialization for Processing the Communicative and Emotional Content of Vocal Communication in a Social Mammal, the Domestic Pig.

In humans, speech perception is lateralized, with the left hemisphere of the brain dominant in processing the communicative content and the right hemisphere dominant in processing the emotional content. However, still little is known about such a division of tasks in other species. We therefore investigated lateralized processing of communicative and emotionally relevant calls in a social mammal, the pig (Sus scrofa). Based on the contralateral connection between ears and hemispheres, we compared the behavioural and cardiac responses of 36 young male pigs during binaural and monaural (left or right) playback to the same sounds. The playback stimuli were calls of social isolation and physical restraint, whose communicative and emotional relevance, respectively, were validated prior to the test by acoustic analyses and during binaural playbacks. There were indications of lateralized processing mainly in the initial detection (left head-turn bias, indicating right hemispheric dominance) of the more emotionally relevant restraint calls. Conversely, there were indications of lateralized processing only in the appraisal (increased attention during playback to the right ear) of the more communicative relevant isolation calls. This implies differential involvement of the hemispheres in the auditory processing of vocalizations in pigs and thereby hints at similarities in the auditory processing of vocal communication in non-human animals and speech in humans. Therefore, these findings provide interesting new insight in the evolution of human language and auditory lateralization.

Comparison of Surface Area and Cortical Thickness Asymmetry in the Human and Chimpanzee Brain.

Comparative study of the structural asymmetry of the human and chimpanzee brain may shed light on the evolution of language and other cognitive abilities in humans. Here we report the results of vertex-wise and ROI-based analyses that compared surface area (SA) and cortical thickness (CT) asymmetries in 3D MR images obtained for 91 humans and 77 chimpanzees. The human brain is substantially more asymmetric than the chimpanzee brain. In particular, the human brain has 1) larger total SA in the right compared with the left cerebral hemisphere, 2) a global torque-like asymmetry pattern of widespread thicker cortex in the left compared with the right frontal and the right compared with the left temporo-parieto-occipital lobe, and 3) local asymmetries, most notably in medial occipital cortex and superior temporal gyrus, where rightward asymmetry is observed for both SA and CT. There is also 4) a prominent asymmetry specific to the chimpanzee brain, namely, rightward CT asymmetry of precentral cortex. These findings provide evidence of there being substantial differences in asymmetry between the human and chimpanzee brain. The unique asymmetries of the human brain are potential neural substrates for cognitive specializations, and the presence of significant CT asymmetry of precentral gyrus in the chimpanzee brain should be further investigated.

Determining the Domain of Postproverbials in Human Language Development Theories and Stages

Abstract Language acquisition is a fundamental phenomenon in the linguistic enterprise. Chomsky claims that, “the human brain provides an array of capacities that enter into the use and understanding of Language (the language faculty (FL))”. Using the descriptive approach, this paper explores, justifies, and determines the place of the human linguistic capacity to articulate and engage postproverbials vis-a-vis Chomsky’s model of grammar and few scholarly positions. This article aims at providing evidence that, compared to others; Chomsky’s idea of linguistic competence is the most appropriate account for the use and understanding of postproverbials. The study revealed that the first sentences/the intermediate proficiency stage presents humans with the capacity to develop, use, and understand postproverbials, and this attains full development at the advanced fluency stage to establish postproverbial as one of the capacities that the human brain provides, located in the FL, and that its use and understanding is consciously employed.

Pup Directed Vocalizations of Adult Females and Males in a Vocal Learning Bat

Social feedback plays an important role in human language development and in the vocal ontogeny of non-human animals. A special form of vocal feedback in humans, infant-directed speech – or motherese –facilitates language learning and is socially beneficial by increasing attention and arousal in the child. It is characterized by high pitch, expanded intonation contours and slower speech tempo. Furthermore, the vocal timbre (i.e. ’color’ of voice) of motherese differs from the timbre of adult-directed speech. In animals, pup-directed vocalizations are very common, especially in females. But so far there is hardly any research on whether there is a similar phenomenon as motherese in animal vocalizations. The greater sac-winged bat, Saccopteryx bilineata, is a vocal production learner with a large vocal repertoire that is acquired during ontogeny. We compared acoustic features between female pup-directed and adult-directed vocalizations and demonstrated that they differed in timbre and peak frequency. Furthermore, we described pup-directed vocalizations of adult males. During the ontogenetic period when pups’ isolation calls (used to solicit maternal care) are converging towards each other to form a group signature, adult males also produce isolation calls. Pups’ isolation calls are acoustically more similar to those of males from the same social group than to other males. In conclusion, our novel findings indicate that parent-offspring communication in bats is more complex and multifaceted than previously thought, with female pup-directed vocalizations reminiscent of human motherese and male pup-directed vocalizations that may facilitate the transmission of a vocal signature across generations.

Evolution and impact of bias in human and machine learning algorithm interaction.

Traditionally, machine learning algorithms relied on reliable labels from experts to build predictions. More recently however, algorithms have been receiving data from the general population in the form of labeling, annotations, etc. The result is that algorithms are subject to bias that is born from ingesting unchecked information, such as biased samples and biased labels. Furthermore, people and algorithms are increasingly engaged in interactive processes wherein neither the human nor the algorithms receive unbiased data. Algorithms can also make biased predictions, leading to what is now known as algorithmic bias. On the other hand, human’s reaction to the output of machine learning methods with algorithmic bias worsen the situations by making decision based on biased information, which will probably be consumed by algorithms later. Some recent research has focused on the ethical and moral implication of machine learning algorithmic bias on society. However, most research has so far treated algorithmic bias as a static factor, which fails to capture the dynamic and iterative properties of bias. We argue that algorithmic bias interacts with humans in an iterative manner, which has a long-term effect on algorithms’ performance. For this purpose, we present an iterated-learning framework that is inspired from human language evolution to study the interaction between machine learning algorithms and humans. Our goal is to study two sources of bias that interact: the process by which people select information to label (human action); and the process by which an algorithm selects the subset of information to present to people (iterated algorithmic bias mode). We investigate three forms of iterated algorithmic bias (personalization filter, active learning, and random) and how they affect the performance of machine learning algorithms by formulating research questions about the impact of each type of bias. Based on statistical analyses of the results of several controlled experiments, we found that the three different iterated bias modes, as well as initial training data class imbalance and human action, do affect the models learned by machine learning algorithms. We also found that iterated filter bias, which is prominent in personalized user interfaces, can lead to more inequality in estimated relevance and to a limited human ability to discover relevant data. Our findings indicate that the relevance blind spot (items from the testing set whose predicted relevance probability is less than 0.5 and who thus risk being hidden from humans) amounted to 4% of all relevant items when using a content-based filter that predicts relevant items. A similar simulation using a real-life rating data set found that the same filter resulted in a blind spot size of 75% of the relevant testing set.

Introduction to the Special Issue on Nonverbal Vocal Communication in Development

Nonverbal vocal aspects of communication, often related to affective states, are crucial to social interactions not only for animals but also for humans during early infancy, as well as being one of the pillars of human language development and acquisition. The thread that binds together the contributions to this Special Issue is the analysis of nonverbal vocal communication during development, both from ontogenetic and phylogenetic perspectives. This introduction presents the multiple viewpoints emerging from this Special Issue and delineates future research directions for investigating the nonverbal aspects of vocal communication in early development.

Communication and representation understood as sender–receiver coordination

Modeling work by Brian Skyrms and others in recent years has transformed the theoretical role of David Lewis's 1969 model of signaling. The latter can now be understood as a minimal model of communication in all its forms. In this article, we explain how the Lewis model has been generalized, and consider how it and its variants contribute to ongoing debates in several areas. Specifically, we consider connections between the models and four topics: The role of common interest in communication, signaling within the organism, meaning, and the evolution of human communication and language.

The Evolutionary Development of Human Language

One of the most intriguing questions of mankind is the question of how human language evolved. Human language is the primary feature that distinguishes humans from animals. How Homo sapiens acquired language is an open, highly disputed question. So far, science hasn't delivered a satisfactory solution. The most important reason for this failure lies in the fact that no physical evidence for the development of the brain – which plays the central role in the rise of humans – is available. The previous assumption that genetic mutations of the brain were responsible for the evolution of language is not convincing because this would have required two simultaneous genetic mutation of Homo sapiens: a genetic mutation of the brain, and subsequently a mutation of the speaking-apparatus. This seems extremely improbable. We will show here that only the genetic mutation of the speaking-apparatus was necessary. Then two factors came together: in addition to a highly developed brain (which all hominids had and have) an adequate speaking-apparatus was the main factor for the development of language. Upright walking also helped as it enabled them to point with their hands. Some phenotypical mutations also occurred when Homo sapiens started to develop language. One was higher myelinization which improved the signal speed in the human brain compared to other animals. The second one was the development of special areas in the cortex that supported language, understanding and thinking: Wernicke's area and Broca's area. We will also show the connection between human language and human thinking, which is based on the second level of abstraction. This connection proves that the Neanderthals didn't have a sophisticated language. Such a language only developed in Homo sapiens.

Theory of mind as a proxy for Palaeolithic language ability

Abstract Symbolic artefacts have long been archaeology’s primary contribution to tracing the origin and subsequent development of human language. But the identification and interpretation of symbolic behaviour poses numerous interpretive problems, particularly before the Upper Palaeolithic where clearly referential forms of symbolic material are rare. As an alternative, theory of mind is presented here, detailing its intimate relationship with language and likely coevolution, alongside the factors which make it a more effective proxy. As a cognitive ability that grades in complexity and predicts linguistic skill in modern cognition, theory of mind also has the potential to denote specific syntactic and semantic features of language such as word reference, mental state verbs and complementation. The potential to detect theory of mind in the archaeological record is considered here, such as within the cultural transmission of stone tool technology and forms of complex social learning like imitation and teaching in early hominin technologies.

Biology, environment, and culture: From animal communication to human language and cognition

Contradictions in interpreting data from different scientific domains exploring anthopogenesis and language evolution will remain unsolved without a convergent approach and mutually acceptable multidisciplinary language. The article addresses the question of specific features of mental functions and language in humans as compared to other species. The main hypotheses of human evolution and their language are discussed. Cognitive capacities of animals and their communication signals are addressed, as are the basic principles of brain functions and bio-evolutionary mechanisms that underlie the complexity of human behavior and language evolution. Human language is a species’ specific brain ability, promoting not only complex communication signals, but also mentality itself. Language has basic universal rules, possibly caused by brain networks per se. It is hierarchically organized within the levels of lexicon, grammar (morphology, syntax, semantics and phonology) and pragmatics. The functions and their brain mechanisms are currently discussed either within the localizationistic modular approach, or within holistic views. The main discussions are between scholars exploring universal inborn grammar, and those preferring connectionism based on neuronal net learning, frequency factors, etc. One of the features of language in contrast to other communication systems is its principal ambiguity on many linguistic levels, context being a crucial aspect.

How biological elements interact with language: The biolinguistic inquiry.

Biolinguistics realizes a scientific approach to study language both as a biological object (the language faculty) and an internal, intensional and individual language system (I-language), spurring a cross-disciplinary exploration of the biological nature of human language. The poverty of stimulus (POS) in language acquisition, together with the roles played by neurobiological factors in linguistic aphasia, specific language impairment and mirror deficits, confirms the biological nature of the language faculty and I-language. Based on the property, the classic molecular genetic study reveals how human genetic endowments canalize the development of human language, and they interact with specific linguistic experience during the maturation of human language. Further, the rapid development of biological research promotes an increasing emphasis on a more nuanced molecular network system, along with the existing interest in one-gene-one-behavioral phenotype. Thus, a synthetic perspective on the study of the biological part of language will function as a new departure for the incoming biolinguistic inquiry.

An Empirical Analysis to the Translation Pitfalls

With the evolution of human languages and the increasing interaction of human civilizations, the asymmetry of translation is becoming severer and acuter, the outdated translation methods are no longer applicable in current situations. Many English words' meaning cannot be understood by Chinese, a variety of proper nouns' translation versions urge a systematic and standard regulation in the filed of translation. This thesis collects commonly-made translation errors from a wide range of materials as well as our daily life, using empirical study method to analyse these pitfalls and offer solutions in order to make a cultural equivalence.

All or nothing: No half-Merge and the evolution of syntax.

In their Essay on the evolution of human language, Martins and Boeckx seek to refute what they call the “half-Merge fallacy”—the conclusion that the most elementary computational operation for human language syntax, binary set formation, or “Merge,” evolved in a single step. We show that their argument collapses. It is based on a serious misunderstanding of binary set formation as well as formal language theory. Furthermore, their specific evolutionary scenario counterproposal for a “two-step” evolution of Merge does not work. Although we agree with their Essay on several points, including that there must have been many steps in the evolution of human language and the importance of understanding how language and language syntax are implemented in the brain, we disagree that there is any justification, empirical or conceptual, for the decomposition of binary set formation into separate steps.

A Survey on Modeling Language Evolution in the New Millennium

Language is a complex evolving system and it is not a trivial task to model the dynamics of processes occurring during its evolution. Therefore, modeling language evolution has attracted the interest of several researchers giving rise to a lot of models in the literature of the last millennium. This work reviews the literature devoted to computationally represent the evolution of human language through formal models and provides an analysis of the bibliographic production and scientific impact of the surveyed language evolution models to give some conclusions about current trends and future perspectives of this research field. The survey provides also an overview of the strategies for validating and comparing the different language evolution models and how these techniques have been applied by the surveyed models.