曾淑娟 Tseng Shu-Chuan
中央研究院語言學研究所 副所長
Deputy Director, Institute of Linguistics, Academia Sinica
曾淑娟自1999年返台任職中央研究院語言學研究所，擔任中華民國計算語言學學會理事及秘書長、國家教育研究院研究諮詢委員及國家科學及技術委員會人文處語言學門共同召集人。致力台灣華語及客語成人對話語料標註、語音變異、聲學分析、心理詞彙庫與音韻形式等研究。並積極推動計算與語料庫語言學與語言治療跨領域研究，建立台灣華語學齡前兒童語音習得常模語料庫，並據以建立兒童語音清晰度評估模型，開發新科技應用收集並反饋模型成果。擔任中央研究院語言學研究所數位語言資源工作室召集人，推動台灣國家語言資源數位化整合及共享計畫，期望在AI時代，高品質的語言學標註資料，得以與新科技研究型態融合，在保有學術研究理論價值的同時，亦能善盡社會責任，推動新型態數位人文及語言學相關專業領域的科技應用。
曾淑娟畢業於清華大學數學系，為德國畢勒費爾德大學德語教學碩士及語言學博士。專長包括：計算與語料庫語言學、對話言談與語音分析、兒童語音評估模型與應用及語言數位人文等。
Dr. Shu-Chuan Tseng has served as a board member and secretary-general of the Association for Computational Linguistics and Chinese Language Processing, a research advisory committee member of the National Academy for Educational Research, and as a co-convener of the Linguistics Division in the Department of Humanities and Social Sciences at the National Science and Technology Council.
Her research focuses on the construction of annotated corpora of Mandarin and Hakka speech data. She specializes in acoustic analysis, phonetic and phonological representations of spoken words and discourse analysis. She is actively participated in interdisciplinary collaborative research combining computational and corpus linguistics with speech-language pathology. Recently, she established a normative corpus for Taiwan Mandarin-speaking children, from which assessment models and technological applications for evaluating children’s speech intelligibility are developed. As convener of the Digital Language Resources Group at the Institute of Linguistics, Academia Sinica, Dr. Tseng leads initiatives to digitize, integrate, and share language resources for linguistic research and societal activities.
Dr. Tseng graduated from the Department of Mathematics at National Tsing Hua University. She holds a master’s degree in Teaching German as a Foreign Language and a Ph.D. in Linguistics from Bielefeld University in Germany. Her areas of expertise include computational and corpus linguistics, discourse and speech analysis, child speech assessment models and their applications, and digital humanities in linguistics.