Rule-based and word-level statistics-based processing of language: insights from neuroscience.

To flexibly convey meaning, the human language faculty iteratively combines smaller units such as words into larger structures such as phrases based on grammatical principles. During comprehension, however, it remains unclear how the brain encodes the relationship between words and combines them int...

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Publicado en:Language, Cognition & Neuroscience Vol. 32; no. 5; pp. 570 - 576
Autores principales: Ding, Nai, Melloni, Lucia, Tian, Xing, Poeppel, David
Formato: Journal Article
Publicado: Taylor & Francis Ltd Jun2017
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2017
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      pub: Taylor & Francis Ltd
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        10.1080/23273798.2016.1215477
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        atl: Rule-based and word-level statistics-based processing of language: insights from neuroscience.
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          Ding, Nai
          Melloni, Lucia
          Tian, Xing
          Poeppel, David
        affil: College of Biomedical Engineering and Instrument Sciences, Zhejiang University, Hangzhou, People’s Republic of China
      sug:
      ab: To flexibly convey meaning, the human language faculty iteratively combines smaller units such as words into larger structures such as phrases based on grammatical principles. During comprehension, however, it remains unclear how the brain encodes the relationship between words and combines them into phrases. One hypothesis is that internal grammatical principles governing language generation are also used to parse the hierarchical syntactic structure of spoken language. An alternative hypothesis suggests, in contrast, that decoding language during comprehension solely relies on statistical relationships between words or strings of words, that is, theN-gram statistics, and no hierarchical linguistic structures are constructed. Here, we briefly review distinctions between rule-based hierarchical models and statistics-based linear string models for comprehension. Recent neurolinguistic studies show that tracking of probabilistic relationships between words is not sufficient to explain cortical encoding of linguistic constituent structure and support the involvement of rule-based processing during language comprehension.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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