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...
| Publicado en: | Language, Cognition & Neuroscience Vol. 32; no. 5; pp. 570 - 576 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Taylor & Francis Ltd
Jun2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=122571036&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 122571036 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23273798 IQ6T jtl: Language, Cognition & Neuroscience issn: 23273798 maglogo: N pubinfo: dt: Jun2017 vid: 32 iid: 5 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 122571036 10.1080/23273798.2016.1215477 122571036 ppf: 570 ppct: 6 formats: tig: atl: Rule-based and word-level statistics-based processing of language: insights from neuroscience. aug: au: 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 refInfo: holdings: @attributes: islocal: N |
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