Computational approaches to semantic change

Nina Tahmasebi (u. a.)

ISBN 10: 398554008X / ISBN 13: 9783985540082

Published by Language Science Press, 2021

About this Item

Computational approaches to semantic change | Nina Tahmasebi (u. a.) | Buch | Gebunden | Englisch | 2021 | Language Science Press | EAN 9783985540082 | Verantwortliche Person für die EU: LangSci Press gUG (haftungsbeschränkt), Bänschstr. 29, 10247 Berlin, support[at]langsci-press[dot]org | Anbieter: preigu Print on Demand.

Seller Inventory # 120446038

Bibliographic Details

• Title: Computational approaches to semantic change
• Publisher: Language Science Press
• Publication Date: 2021
• Language: English
• ISBN 10: 398554008X
• ISBN 13: 9783985540082
• Binding: Buch
• Condition: Neu
• Dimensions: 246W x 175H x 30D millimeters 246 millimeters width by 175 millimeters height by 30 millimeters depth
• Weight: 930 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Semantic change - how the meanings of words change over time - has preoccupied scholars since well before modern linguistics emerged in the late 19th and early 20th century, ushering in a new methodological turn in the study of language change. Compared to changes in sound and grammar, semantic change is the least understood. Ever since, the study of semantic change has progressed steadily, accumulating a vast store of knowledge for over a century, encompassing many languages and language families. Historical linguists also early on realized the potential of computers as research tools, with papers at the very first international conferences in computational linguistics in the 1960s. Such computational studies still tended to be small-scale, method-oriented, and qualitative. However, recent years have witnessed a sea-change in this regard. Big-data empirical quantitative investigations are now coming to the forefront, enabled by enormous advances in storage capability and processing power. Diachronic corpora have grown beyond imagination, defying exploration by traditional manual qualitative methods, and language technology has become increasingly data-driven and semantics-oriented. These developments present a golden opportunity for the empirical study of semantic change over both long and short time spans. A major challenge presently is to integrate the hard-earned knowledge and expertise of traditional historical linguistics with cutting-edge methodology explored primarily in computational linguistics. The idea for the present volume came out of a concrete response to this challenge. The 1st International Workshop on Computational Approaches to Historical Language Change (LChange'19), at ACL 2019, brought together scholars from both fields. This volume offers a survey of this exciting new direction in the study of semantic change, a discussion of the many remaining challenges that we face in pursuing it, and considerably updated and extended versions of a