A Memory-based Sentence Processing Model

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概要

• 論文の詳細を見る

• In the syntactic literature, there are some linguistic data which involve linear order. Such phenomena are difficult for structure-based accounts. LFG succeeds in the prediction of correct grammatical status, however, it fails in accounting for other data since word order is not reflected. Through the sentences in problem, we consider this problem should be solved in terms of real-time processing, not in terms of syntactic manner. Thereupon, we propose a memory-based sentence processing model, which uniformly accounts for the problematic sentences for syntax. Then, we argue the grammar-processor interaction through adopting our model to combitonary categorial grammar.

• 社団法人電子情報通信学会の論文
• 2006-07-07

著者

• Yoshimoto Kei

  Graduate School Of International Cultural Studies (gsics) Tohoku University

• Takahashi Kei

  Graduate School Of International Cultural Studies (gsics) Tohoku University

関連論文

• A Memory-based Sentence Processing Model

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