语言学

“基于规则”还是“基于网络”——形态复杂词的神经表征研究现状

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  • 北京外国语大学,北京,100089
李佐文,北京外国语大学人工智能与人类语言重点实验室教授、博士生导师。主要研究方向为语言智能、语言教学。电子邮箱:lizuowen@bfsu.edu.cn
* 王玉玲,北京外国语大学人工智能与人类语言重点实验室博士后、助理研究员。主要研究方向为神经语言学、计算语言学。电子邮箱:yl-wang18@tsinghua.org.cn

网络出版日期: 2024-03-11

基金资助

* 北京市社会科学基金重大项目(20ZDA21);国家资助博士后计划(GZC20230286);博后面上项目(2023M740316)

“Rule-based” or “Network-based” :State of the Art in the Neural Representation of Morphologically Complex Words

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Online published: 2024-03-11

摘要

关于形态复杂词认知机制的主要辩论一直围绕着“基于规则”还是“基于网络”的方法展开。虽然这两种方法内部各自又包含不同观点,但它们之间的基本争议均涉及语言规律是否由基于规则的知识产生的问题。本文对三种形态类别(屈折、派生、复合)及三种相关的形态加工模型(强制分解、双路径、联结主义观点)进行梳理,说明对形态处理神经机制研究的最新进展。

关键词: 屈折; 派生; 复合; 形态

本文引用格式

李佐文, 王玉玲 . “基于规则”还是“基于网络”——形态复杂词的神经表征研究现状[J]. 当代外语研究, 2024 , 24(1) : 89 -101 . DOI: 10.3969/j.issn.1674-8921.2024.01.007

Abstract

The purpose of this review is to provide a comprehensive overview on the state-of-the-art of the research on the neural mechanisms of morphological processing. The main debates regarding the neurocognition of morphology at the word level have revolved around the distinction between “rule-based” & “network-based” approaches. Whereas both of these model types come in several different flavours, the basic controversy between them pertains to the question of whether linguistic regularities are generated by rule-based knowledge or not. We summarize findings on inflected, derived and compound words, their interpretations with respect to current neurolinguistic models, and discuss methodological approaches as well as their possible limitations.

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