Computer simulation as an important approach to explore language universal: Comment on "Dependency distance: a new perspective on syntactic patterns in natural languages" by Haitao Liu et al.
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DOI: 10.1016/j.plrev.2017.06.007
Abstract: Exploring language universal is one of the major goals of linguistic researches, which are largely devoted to answering the “Platonic questions” in linguistics, that is, what is the language knowledge, how to get and use… read more here.
Keywords: dependency distance; distance; corpus; language ... See more keywords
DDM at Work: Reply to comments on "Dependency distance: A new perspective on syntactic patterns in natural languages".
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DOI: 10.1016/j.plrev.2017.07.001
Abstract: We provide responses to the commentaries in this volume to evaluate, clarify and extend some of the arguments in Dependency distance: A new perspective on syntactic patterns in natural languages. Evidences show that DDM (dependency… read more here.
Keywords: distance new; perspective syntactic; dependency distance; dependency ... See more keywords
An investigation of the diachronic trend of dependency distance minimization in magazines and news
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DOI: 10.1371/journal.pone.0279836
Abstract: The principle of minimization of dependency distance (DD) can reduce the working memory burden of language speakers, that is, reduce the cognitive burden during the communication process. This investigation demonstrated the dependency distance (based on… read more here.
Keywords: dependency distance; magazines news; minimization; dependency ... See more keywords
Dependency Distance Differences across Interpreting Types: Implications for Cognitive Demand
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DOI: 10.3389/fpsyg.2017.02132
Abstract: Interpreting is generally recognized as a particularly demanding language processing task for the cognitive system. Dependency distance, the linear distance between two syntactically related words in a sentence, is an index of sentence complexity and… read more here.
Keywords: interpreting types; consecutive interpreting; dependency distance; distance ... See more keywords