Chinese Language Resources

ISBN-13: 9783031389122 / Twarda / 2023 / 692 str.

Spis treści

Introduction.- Comprehensive Language Knowledge Base; Shiwen Yu et al..- Chinese Language Resources; Chu-Ren Huang et al..- Part 1: Language Resources: Annotation and Processing.- A Brief Introduction to ZiCool, Zi for the Chinese Object-oriented Lexicon; Yang Liu.- A Large Scale Word Sense Annotated Corpus for Chinese; Peng Jin.- A preliminary study on Chinese language resource construction for the deep semantic analysis; Zhifang Sui.- Chinese dialog act annotation; Yunfang Wu.- DeepLEX: A multi-dimensional Chinese lexical resource; Shu-Kai Hsieh.- Dependency-based multi-view Chinese treebanking; Likun Qiu.- Research on consistency check and auto-collation for Chinese semantic role labeling; Yonghong Ke.- Semantic roles and semantic role labeling in Chinese; Wei-Yun Ma.- Tagging gargantuan corpus in Chinese: issues and challenges; Chu-Ren Huang.- The automatic construction of chinese semantic dependency graph bank; Yanqiu Shao; Transcribing spoken Chinese for linguistics analysis; Hongyin Tao.- Part 2: Language Resources and Linguistic Analysis.- A Corpus-based approach to conceptual metaphor modeling: the role of lexical frequency and collocation; Paul Chang and Kathleen Ahrens.- A Statistical study of linguistic information based on CIKB; Lei Wang.- Corpus and Mandarin verbal semantics; Meichun Liu.- Corpus-driven linguistic approaches to sense discovery: a study of Mandarin conceptual lexicalization; Jia-Fei Hong et al..- Describing the grammatical knowledge of Chinese words for natural language processing interpretable syntactic behaviors of Chinese verbs - interactions among morphology, semantics and syntax; XiaojingBai.- Locative expressions in Chinese; Huiju Hsiung.- Studies on the construction of Chinese functional words' usages knowledge base and its applications; Hongying Zan.- Using forced alignment for phonetics research; Jiahong Yuan et al..- Verb polysemy and compounding productivity in Chinese; Chaojan Chen.- Part 3: Language Processing: Models and Applications.- Answer type recognition for pupils question answering system; Ru-Yng Chang et al..- Automatic identification of neologisms i two taiwanese newspaper corpora; Zhao-Ming Gao.- Exploring relative clauses in Chinese corpora for sentence processing research; Charles C-J Lin.- Learning context vectors via mono-sense synonyms for word sense disambiguation; Minghong Bai.- Conclusion.- Chinese language resources: from resources to research and application; Chu-Ren Huang et al..- Chinese language resources: A comprehensive compendium; Weidong Zhan et al..

O autorze

Chu-Ren Huang is a chair professor in the Department of Chinese and Bilingual Studies at The Hong Kong Polytechnic University. Focusing on Chinese, computational, and corpus linguistics, he is fascinated by what language can tell us about human cognition and our collective reactions to natural and social environments. He approaches these questions with a deep and comprehensive study of the Chinese language. His recent books on Chinese include A Reference Grammar of Chinese (Cambridge), the Routledge Handbook on Chinese Applied Linguistics, and the Cambridge Handbook of Chinese Linguistics, His recent papers appeared in Behavior Research Methods; Computational Linguistics; Cognitive Linguistics; Corpus Linguistics and Linguistic Theories; Humanities and Social Sciences Communications, Knowledge-Based Systems; Language, Cognition and Neuroscience; Language Resources and Evaluation; Lingua; Natural Language Engineering; PLoS One; etc.

Dr. Shu-Kai Hsieh is Associate Professor of Linguistics at National Taiwan University, Taiwan. He received his PhD in Computational Linguistics from the University of Tübingen, Germany. He is the supervisor of NTU Lab of Ontologies, Language Processing and e-Humanities, and the founder of Taiwan Olympiad in Linguistics (TOL) and serves as the team leader and head coach of the Taiwanese national teams for International Olympiad in Linguistics.

Peng Jin is a full professor at Leshan Normal University. He co-founded the Sichuan Provincial Key Laboratory of Philosophy and Social Science for Language Intelligence in Special Education in 2022. He also founded the Key Laboratory of Internet Natural Language Processing of Sichuan Provincial Education Department in 2014. He has published tens of top journal and conference papers on natural language processing and has been granted two NSFC projects. He received his PhD degree from Peking University in July 2009, working on word sense disambiguation for his thesis. As a visiting scholar and student, he worked and studied at the University of Sussex, UK, in 2007 and 2014, respectively.

Blurb

Based on the accumulation of research experience and knowledge over the past 30 years, this volume lays out the research issues posed by the construction of various types of Chinese language resources, how they were resolved, and the implication of the solutions for future Chinese language processing research.This volume covers 30 years of development in Chinese language processing, focusing on the impact of conscientious decisions by some leading research groups. It focuses on constructing language resources, which led to thriving research and development of expertise in Chinese language technology today. Contributions from more than 40 leading scholars from various countries explore how Chinese language resources are used in current pioneering NLP research, the future challenges and their implications for computational and theoretical linguistics.