The research of Multimodal Discourse Analysis in China involves theoretical studies, visual applications, corpus construction, teaching application and so on.
我国多模态话语分析研究主要涉及理论探讨、视觉应用、口语语料库建设、教学应用等领域。
It covers syntactic, semantic and discourse processing models, emphasizing machine learning or corpus-based methods and algorithms.
本课程涵盖了语法、语意及对话处理模型，著重在机器学习或是以语料库为基础的方法及演算法。
A corpus provides a large empirical database of discourse so that analyses are based on naturally occurring structures and patterns of language use rather than intuitions or perceptions.
语料库正是由于提供了大量真实的语言数据库才使得语言分析研究能够基于自然发生的语言结构和形式而非靠直觉感知的语言现象进行。
Accordingly, some pertinent dialogical measures are proposed to strengthen and enrich Critical Discourse Analysis by borrowing methods from Corpus Linguistics.
本文据此提出具体的对话方法，以期借语料库语言学方法加强和丰富批评话语分析的研究。
Accordingly, some pertinent dialogical measures are proposed to strengthen and enrich Critical Discourse Analysis by borrowing methods from Corpus Linguistics.
本文据此提出具体的对话方法，以期借语料库语言学方法加强和丰富批评话语分析的研究。
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