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Relevant bibliographies by topics / Evolution Language

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Academic literature on the topic 'Evolution Language'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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Journal articles on the topic "Evolution Language"

1

Bickerton, Derek. "Language evolution without evolution." Behavioral and Brain Sciences 26, no. 6 (December 2003): 669–70. http://dx.doi.org/10.1017/s0140525x03250159.

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Jackendoff's major syntactic exemplar is deeply unrepresentative of most syntactic relations and operations. His treatment of language evolution is vulnerable to Occam's Razor, hypothesizing stages of dubious independence and unexplained adaptiveness, and effectively divorcing the evolution of language from other aspects of human evolution. In particular, it ignores connections between language and the massive discontinuities in human cognitive evolution.

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Gandhi, N. D. "Language evolution." BMJ 325, no. 7374 (November 23, 2002): 1245b—1245. http://dx.doi.org/10.1136/bmj.325.7374.1245/b.

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Számadó, Szabolcs, and Eörs Szathmáry. "Language Evolution." PLoS Biology 2, no. 10 (October 12, 2004): e346. http://dx.doi.org/10.1371/journal.pbio.0020346.

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Satterfield, Teresa. "Language acquisition recapitulates language evolution?" Behavioral and Brain Sciences 31, no. 5 (October 2008): 532–33. http://dx.doi.org/10.1017/s0140525x08005232.

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AbstractChristiansen & Chater (C&C) focus solely on general-purpose cognitive processes in their elegant conceptualization of language evolution. However, numerous developmental facts attested in L1 acquisition confound C&C's subsequent claim that the logical problem of language acquisition now plausibly recapitulates that of language evolution. I argue that language acquisition should be viewed instead as a multi-layered construction involving the interplay of general and domain-specific learning mechanisms.

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Chater, Nick, and Morten H. Christiansen. "Language Acquisition Meets Language Evolution." Cognitive Science 34, no. 7 (July 14, 2010): 1131–57. http://dx.doi.org/10.1111/j.1551-6709.2009.01049.x.

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Baghana, Jerome, Elena V. Bondarenko, Oksana V. Balashova, and Irina A. Shumakova. "Evolution of the language system: ideas and thoughts." Journal of Language and Literature 5, no. 2 (May 30, 2014): 122–24. http://dx.doi.org/10.7813/jll.2014/5-2/19.

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Anderson, Stephen R. "Language Evolution (review)." Language 82, no. 4 (2006): 894–98. http://dx.doi.org/10.1353/lan.2006.0179.

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Williams, Nigel. "Language evolution puzzle." Current Biology 20, no. 9 (May 2010): R388—R389. http://dx.doi.org/10.1016/j.cub.2010.04.032.

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Weiß, Helmut. "Darwinian language evolution." Biological Evolution 3, no. 1 (August 2, 2021): 73–82. http://dx.doi.org/10.1075/elt.00026.wei.

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Abstract Haider’s target paper presents a fresh and inspiring look at the nature of grammar change. The overall impression of his approach is very convincing, especially his insistence on the point that language was not selected for communication – hence it is no adaptation to communicative use. Nevertheless, I think three topics are in need of further discussion and elaboration. First, I will discuss the question whether Haider’s conception of Darwinian selection covers all aspects of grammar change. Second, I will consider the question of whether an approach that dispenses with UG (as Haider’s does) can explain why grammars are the way they are. Third, I will question Haider’s equation of grammar with the genotype and of speech with the phenotype and develop an alternative and more appropriate proposal where, among others, speech corresponds to behavior.

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Kronenfeld, David B. "The Ecology of Language Evolution.:The Ecology of Language Evolution." American Anthropologist 105, no. 4 (December 2003): 856–57. http://dx.doi.org/10.1525/aa.2003.105.4.856.2.

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Dissertations / Theses on the topic "Evolution Language"

1

Livingstone, Daniel Jack. "Computer models of the evolution of language and languages." Thesis, University of the West of Scotland, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398331.

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Eger, Steffen. "Computer simulation of language evolution." [S.l. : s.n.], 2007. http://nbn-resolving.de/urn:nbn:de:bsz:16-opus-72552.

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Thomas, James Geoffrey. "Self-domestication and language evolution." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/16149.

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This thesis addresses a major problem facing any attempt to account for language structure through a cultural mechanism: The processes required by such a mechanism are only possible if we assume the existence of a range of preconditions. These preconditions are not trivial, and themselves require an explanation. In this thesis I address the nature and origin of these preconditions. I approach this topic in three stages. In the first stage, I pull-apart the functioning of one prominent cultural account of language evolution—the Iterated Learning Model —to identify the preconditions it assumes. These preconditions cluster into two main groups. The first concerns the traditional transmission of the communication system. The second relates to the emergence of particular skills of social cognition that make learned symbols and language-like communication a possibility. In the second stage, I turn to comparative evidence, looking for evolutionary analogies that might shed light on the emergence of these preconditions. Two case studies—the Bengalese finch and the domestic dog—are considered in detail, both of which show aspects of one of the preconditions emerging in the context of domestication. In each case I examine what it is about the domestication process that led to this outcome. In the final stage, I consider whether this same context might explain the emergence of these preconditions in humans. The claim that humans are a self-domesticated species has a long history, and is increasingly invoked in contemporary discussions of language evolution. However, it is often unclear exactly what this claim entails. I present a synthesis and critique of a range of empirical and theoretical perspectives on self-domestication. I conclude that human self-domestication is a coherent concept, and that there are several plausible accounts of how it might have occurred. The realisation that humans are a self-domesticated species can, therefore, provide some insight into how a cultural account of language structure might be possible at all.

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Watanabe, Yusuke, 麗璽鈴木, Reiji Suzuki, 隆也有田, and Takaya Arita. "Language Evolution and the Baldwin Effect." Springer, 2008. http://hdl.handle.net/2237/11907.

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Kim, Anthony Hahn 1980. "Building a trajectory syntax through language evolution." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28433.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
Includes bibliographical references (leaves 81-82).
If we are to understand the innately human ability to solve complex problems, we must first understand the cognitive processes that allow us to combine different kinds of knowledge, to learn new things and to communicate with other people. I have built a computer simulation, based on the work of Simon Kirby, in which I show that a population of induction agents, capable of perceiving their environment and producing utterances, can develop a compositional grammar to describe the world they observe with no prior linguistic knowledge. This system expands the semantic domain proposed by Kirby which expressed meanings such as "John knows Pete" to a physical world of trajectories such as "The boy ran from the tree to the pole". In this new simulation, I demonstrate that a compositional syntax still develops if the level of semantic complexity increases over time. I then argue that using multiple representations decreases the time necessary for a compositional grammar to emerge.
by Anthony Hahn Kim.
M.Eng.

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Feeney, Andrew Stephe. "Language evolution as a constraint on conceptions of a minimalist language faculty." Thesis, University of Newcastle upon Tyne, 2014. http://hdl.handle.net/10443/2768.

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Language appears to be special. Well-rehearsed arguments that appeal to aspects of language acquisition, psycholinguistic processing and linguistic universals all suggest that language has certain properties that distinguish it from other domain general capacities. The most widely discussed theory of an innate, modular, domain specific language faculty is Chomskyan generative grammar (CGG) in its various guises. However, an examination of the history and development of CGG reveals a constant tension in the relationship of syntax, phonology and semantics that has endured up to, and fatally undermines, the latest manifestation of the theory: the Minimalist Program. Evidence from language evolution can be deployed to arrive at a more coherent understanding of the nature of the human faculty for language. I suggest that all current theories can be classed on the basis of two binary distinctions: firstly, that between nativist and non-nativist accounts, and secondly between hypotheses that rely on a sudden explanation for the origins of language and those that rely on a gradual, incremental picture. All four consequent possibilities have serious flaws. By scrutinising the extant cross-disciplinary data on the evolution of hominins it becomes clear that there were two significant periods of rapid evolutionary change, corresponding to stages of punctuated equilibrium. The first of these occurred approximately two million years ago with the speciation event of Homo, saw a doubling in the size, alongside some reorganisation, of hominin brains, and resulted in the first irrefutable evidence of cognitive behaviour that distinguishes the species from that of our last common ancestor with chimpanzees. The second period began seven to eight hundred thousand years ago, again involving reorganisation and growth of the brain with associated behavioural innovations, and gave rise to modern humans by at least two hundred thousand years ago. ii I suggest that as a consequence of the first of these evolutionary breakthroughs, the species Homo erectus was endowed with a proto-‘language of thought’ (LoT), a development of the cognitive capacity evident in modern chimpanzees, accompanied by a gestural, and then vocal, symbolic protolanguage. The second breakthrough constituted a great leap involving the emergence of advanced theory of mind and a fully recursive, creative LoT. I propose that the theory outlined in the Representational Hypothesis (RH) clarifies an understanding of the nature of language as having evolved to represent externally this wholly internal, universal LoT, and it is the latter which is the sole locus of syntax and semantics. By clearly distinguishing between a phonological system for semiotic representation, and that which it represents, a syntactico-semantic LoT, the RH offers a fully logical and consistent understanding of the human faculty for language. Language may have the appearance of domain specific properties, but this is entirely derived from both the nature of that which it represents, and the natural constraints of symbolic representation.

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Cornish, Hannah. "Language adapts : exploring the cultural dynamics of iterated learning." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/5603.

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Human languages are not just tools for transmitting cultural ideas, they are themselves culturally transmitted. This single observation has major implications for our understanding of how and why languages around the world are structured the way they are, and also for how scientists should be studying them. Accounting for the origins of what turns out to be such a uniquely human ability is, and should be, a priority for anyone interested in what makes us different from every other lifeform on Earth. The way the scientific community thinks about language has seen considerable changes over the years. In particular, we have witnessed movements away from a purely descriptive science of language, towards a more explanatory framework that is willing to embrace the difficult questions of not just how individual languages are currently structured and used, but also how and why they got to be that way in the first place. Seeing languages as historical entities is, of course, nothing new in linguistics. Seeing languages as complex adaptive systems, undergoing processes of evolution at multiple levels of interaction however, is. Broadly speaking, this thesis explores some of the implications that this perspective on language has, and argues that in addition to furthering our understanding of the processes of biological evolution and the mechanisms of individual learning required specifically for language, we also need to be mindful of the less well-understood cultural processes that mediate between the two. Human communication systems are not just direct expressions of our genes. Neither are they independently acquired by learners anew at every generation. Instead, languages are transmitted culturally from one generation to another, creating an opportunity for a different kind of evolutionary channel to exist. It is a central aim of this thesis to explore some of the adaptive dynamics that such a cultural channel has, and investigate the extent to which certain structural and statistical properties of language can be directly explained as adaptations to the transmission process and the learning biases of speakers. In order to address this aim, this thesis takes an experimental approach. Building on a rich set of empirical results from various computational simulations and mathematical models, it presents a novel methodological framework for exploring one type of cultural transmission mechanism, iterated learning, in the laboratory using human participants. In these experiments, we observe the evolution of artificial languages as they are acquired and then transmitted to new learners. Although there is no communication involved in these studies, and participants are unaware that their learning efforts are being propagated to future learners, we find that many functional features of language emerge naturally from the different constraints imposed upon them during transmission. These constraints can take a variety of forms, both internal and external to the learner. Taken collectively, the data presented here suggest several points: (i) that iterated language learning experiments can provide us with new insights about the emergence and evolution of language; (ii) that language-like structure can emerge as a result of cultural transmission alone; and (iii) that whilst structure in these systems has the appearance of design, and is in some sense ‘created’ by intentional beings, its emergence is in fact wholly the result of non-intentional processes. Put simply, cultural evolution plays a vital role in language. This work extends our framework for understanding it, and offers a new method for investigating it.

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Ferdinand, Vanessa Anne. "Inductive evolution : cognition, culture, and regularity in language." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/11741.

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Cultural artifacts, such as language, survive and replicate by passing from mind to mind. Cultural evolution always proceeds by an inductive process, where behaviors are never directly copied, but reverse engineered by the cognitive mechanisms involved in learning and production. I will refer to this type of evolutionary change as inductive evolution and explain how this represents a broader class of evolutionary processes that can include both neutral and selective evolution. This thesis takes a mechanistic approach to understanding the forces of evolution underlying change in culture over time, where the mechanisms of change are sought within human cognition. I define culture as anything that replicates by passing through a cognitive system and take language as a premier example of culture, because of the wealth of knowledge about linguistic behaviors (external language) and its cognitive processing mechanisms (internal language). Mainstream cultural evolution theories related to social learning and social transmission of information define culture ideationally, as the subset of socially-acquired information in cognition that affects behaviors. Their goal is to explain behaviors with culture and avoid circularity by defining behaviors as markedly not part of culture. I take a reductionistic approach and argue that all there is to culture is brain states and behaviors, and further, that a complete explanation of the forces of cultural change can not be explained by a subset of cognition related to social learning, but necessarily involves domain-general mechanisms, because cognition is an integrated system. Such an approach should decompose culture into its constituent parts and explore 1) how brains states effect behavior, 2) how behavior effects brain states, and 3) how brain states and behaviors change over time when they are linked up in a process of cultural transmission, where one person's behavior is the input to another. I conduct several psychological experiments on frequency learning with adult learners and describe the behavioral biases that alter the frequencies of linguistic variants over time. I also fit probabilistic models of cognition to participant data to understand the inductive biases at play during linguistic frequency learning. Using these inductive and behavioral biases, I infer a Markov model over my empirical data to extrapolate participants' behavior forward in cultural evolutionary time and determine equivalences (and divergences) between inductive evolution and standard models from population genetics. As a key divergence point, I introduce the concept of non-binomial cultural drift, argue that this is a rampant form of neutral evolution in culture, and empirically demonstrate that probability matching is one such inductive mechanism that results in non-binomial cultural drift. I argue further that all inductive problems involving representativeness are potential drivers of neutral evolution unique to cultural systems. I also explore deviations from probability matching and describe non-neutral evolution due to inductive regularization biases in a linguistic and non-linguistic domain. Here, I offer a new take on an old debate about the domain-specificity vs -generality of the cognitive mechanisms involved in language processing, and show that the evolution of regularity in language cannot be predicted in isolation from the general cognitive mechanisms involved in frequency learning. Using my empirical data on regularization vs probability matching, I demonstrate how the use of appropriate non-binomial null hypotheses offers us greater precision in determining the strength of selective forces in cultural evolution.

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Simmonds, Helen Margaret. "Channelling change : evolution in Guernsey Norman French phonology." Thesis, University of Exeter, 2012. http://hdl.handle.net/10871/9246.

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This thesis examines evolution in the phonology of Guernesiais, the endangered variety of Norman French indigenous to the Channel Island of Guernsey. It identifies ways in which modern Guernesiais phonology differs from previous descriptions of the variety written between 1870 and 2008, and identifies new patterns of phonological variation which correlate with speaker place of origin within the island. This is accomplished through a combination of quantitative and qualitative analyses of a new corpus of speech data. The relationship between the data and other extralinguistic variables such as age and gender is also explored. The Guernsey 2010 corpus was gathered during linguistic interviews held with forty-nine adult native speakers of Guernesiais between July and September 2010. The interviews featured a word list translation task (English > Guernesiais), a series of socio-biographical questions, and a self-assessment questionnaire which sought to elicit information about the participants’ use of Guernesiais as well as their responses to questions relating to language revitalisation issues. The interviews resulted in over 40 hours of recorded material in addition to a bank of written socio-biographical, behavioural and attitudinal data. Analysis of the phonetically transcribed data revealed that a number of phonological features of Guernesiais have evolved, perhaps owing to greater contact with English or through other processes of language change such as levelling. Shifting patterns of diatopic variation indicate that south-western Guernesiais forms are spreading northwards, and this is echoed in the findings of the socio-biographical data. New evidence of diatopic variation in final consonant devoicing and word-final post-obstruent liquid deletion was also found. This thesis concludes that there is still considerable variation in the pronunciation of modern native speakers of Guernesiais, and that this correlates with place of origin within the island. While northern Guernesiais forms have not disappeared entirely, south-western Guernesiais appears set to become the de facto standard for the variety, especially as the political impetus for revitalisation is generated from this area of the island.

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Herrmann, Kai, Hannes Voigt, Andreas Behrend, and Wolfgang Lehner. "CoDEL - A Relationally Complete Language for Database Evolution." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-202851.

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Software developers adapt to the fast-moving nature of software systems with agile development techniques. However, database developers lack the tools and concepts to keep pace. Data, already existing in a running product, needs to be evolved accordingly, usually by manually written SQL scripts. A promising approach in database research is to use a declarative database evolution language, which couples both schema and data evolution into intuitive operations. Existing database evolution languages focus on usability but did not aim for completeness. However, this is an inevitable prerequisite for reasonable database evolution to avoid complex and error-prone workarounds. We argue that relational completeness is the feasible expressiveness for a database evolution language. Building upon an existing language, we introduce CoDEL. We define its semantic using relational algebra, propose a syntax, and show its relational completeness.

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Books on the topic "Evolution Language"

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Fitch, W. Tecumseh. The evolution of language. Cambridge: Cambridge University Press, 2010.

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Benz, Anton, Christian Ebert, Gerhard Jäger, and Robert van Rooij, eds. Language, Games, and Evolution. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18006-4.

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name, No. The evolution of language from pre-language. Amsterdam: Benjamins, 1999.

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Givón, T., and Bertram F. Malle, eds. The Evolution of Language out of Pre-language. Amsterdam: John Benjamins Publishing Company, 2002. http://dx.doi.org/10.1075/tsl.53.

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Steels, Luc. Experiments in cultural language evolution. Amsterdam: John Benjamins Pub. Co., 2012.

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Hayes, Justin Cord. The unexpected evolution of language. Avon, Mass: Adams Media, 2012.

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Mufwene, Salikoko S. The ecology of language evolution. Cambridge, UK: Cambridge University Press, 2001.

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Language evolution and syntactic theory. Cambridge: Cambridge University Press, 2009.

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Experiments in cultural language evolution. Amsterdam: John Benjamins Pub. Co., 2012.

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Cangelosi, Angelo, and Domenico Parisi, eds. Simulating the Evolution of Language. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0663-0.

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Book chapters on the topic "Evolution Language"

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Boles, David B. "Language." In Cognitive Evolution, 239–59. 1 Edition. | New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9780429028038-16.

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Arbib, Michael A. "Language Evolution." In The Handbook of Language Emergence, 600–623. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118346136.ch27.

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Jürgens, Uwe. "Language Evolution." In Speech and Language, 9–10. Boston, MA: Birkhäuser Boston, 1989. http://dx.doi.org/10.1007/978-1-4899-6774-9_4.

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Jürgens, Uwe. "Language Evolution." In Comparative Neuroscience and Neurobiology, 57–58. Boston, MA: Birkhäuser Boston, 1988. http://dx.doi.org/10.1007/978-1-4899-6776-3_25.

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Jürgens, Uwe. "Language Evolution." In Learning and Memory, 79–80. Boston, MA: Birkhäuser Boston, 1989. http://dx.doi.org/10.1007/978-1-4899-6778-7_30.

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Croft, William. "Evolution: Language Use and the Evolution of Languages." In The Language Phenomenon, 93–120. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36086-2_5.

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Lieberman, Philip. "The Evolution of Language." In Handbook of Intelligence, 47–64. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1562-0_4.

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Corballis, Michael C. "The evolution of language." In APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior., 273–97. Washington: American Psychological Association, 2017. http://dx.doi.org/10.1037/0000011-014.

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Hagelberg, Erika. "The evolution of language." In Linguistik Aktuell/Linguistics Today, 301–26. Amsterdam: John Benjamins Publishing Company, 2013. http://dx.doi.org/10.1075/la.202.21hag.

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Deacon, Terrence W. "Language Evolution and Neuromechanisms." In A Companion to Cognitive Science, 212–25. Oxford, UK: Blackwell Publishing Ltd, 2017. http://dx.doi.org/10.1002/9781405164535.ch13.

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Conference papers on the topic "Evolution Language"

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Vermolen, Sander. "Software Language Evolution." In 2008 15th Working Conference on Reverse Engineering (WCRE). IEEE, 2008. http://dx.doi.org/10.1109/wcre.2008.42.

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Pizka, Markus, and Elmar Jurgens. "Automating Language Evolution." In First Joint IEEE/IFIP Symposium on Theoretical Aspects of Software Engineering (TASE '07). IEEE, 2007. http://dx.doi.org/10.1109/tase.2007.13.

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Behme, Christina. "Can Languages without writing systems provide new insights in language evolution?" In The Evolution of Language. Proceedings of the 12th International Conference on the Evolution of Language (Evolang12). Wydawnictwo Naukowe Uniwersytetu Mikołaja Kopernika, 2018. http://dx.doi.org/10.12775/3991-1.005.

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Urma, Raoul-Gabriel, and Alan Mycroft. "Programming language evolution via source code query languages." In the ACM 4th annual workshop. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2414721.2414728.

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BEULS, KATRIEN. "SPIRALS IN LANGUAGE EVOLUTION." In EVOLANG 10. WORLD SCIENTIFIC, 2014. http://dx.doi.org/10.1142/9789814603638_0058.

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Makusheva, Natalia V., Irina L. Artemieva, and Viktoriya L. Zavyalova. "Language Evolution Modeling System." In 2018 3rd Russian-Pacific Conference on Computer Technology and Applications (RPC). IEEE, 2018. http://dx.doi.org/10.1109/rpc.2018.8482141.

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Pietron, Piotr, and Olgierd Unold. "Language evolution, social phenomena." In 2010 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2010. http://dx.doi.org/10.1109/cec.2010.5586313.

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SHUAI, LAN, and TAO GONG. "LANGUAGE LATERALIZATION, CATEGORICAL PERCEPTION AND LANGUAGE EVOLUTION." In Proceedings of the 9th International Conference (EVOLANG9). WORLD SCIENTIFIC, 2012. http://dx.doi.org/10.1142/9789814401500_0042.

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BENÍTEZ-BURRACO, ANTONIO, and CEDRIC BOECKX. "LANGUAGE DISORDERS AS WINDOWS ON LANGUAGE EVOLUTION." In EVOLANG 10. WORLD SCIENTIFIC, 2014. http://dx.doi.org/10.1142/9789814603638_0055.

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Emmorey, Karen. "Iconicity in sign language." In The Evolution of Language. Proceedings of the 12th International Conference on the Evolution of Language (Evolang12). Wydawnictwo Naukowe Uniwersytetu Mikołaja Kopernika, 2018. http://dx.doi.org/10.12775/3991-1.201.

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Reports on the topic "Evolution Language"

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King, Gary W., Marc S. Atkin, and David L. Westbrook. Tapir: the Evolution of an Agent Control Language. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada459936.

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Hudak, Paul, Zhong Shao, and John Peterson. Software Evolution Using Higher Order Typed (HOT) Language Technology. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada398538.

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