Chinese Language Resources: Data Collection, Linguistic Analysis, Annotation and Language Processing: 49 - Rilegato

Rilegato

ISBN 10: 3031389123 ISBN 13: 9783031389122

Casa editrice: Springer Nature, 2023

Riassunto

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.

 

Su questo libro

Informazioni sull?autore

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 LanguageEngineering; 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.

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 3031389123
• ISBN 13: 9783031389122
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 662
• Redattore: Huang Chu-Ren, Hsieh Shu-kai, Jin Peng
• Contatto del produttore: non disponibile
• Persona responsabile: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania