Computational approaches to semantic change / edited by Nina Tahmasebi, Lars Borin, Adam Jatowt, Yang Xu, Simon Hengchen.
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...
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Full Text (via EBSCO) |
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| Other Authors: | , , , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin :
Language Science Press,
[2021]
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| Series: | Language variation ;
6. |
| Subjects: |
MARC
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| 245 | 0 | 0 | |a Computational approaches to semantic change / |c edited by Nina Tahmasebi, Lars Borin, Adam Jatowt, Yang Xu, Simon Hengchen. |
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| 520 | |a 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. 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 selection of the contributions to the LChange'19 workshop, addressing both more theoretical problems--e.g., discovery of "laws of semantic change"--and practical applications, such as information retrieval in longitudinal text archives. | ||
| 504 | |a Includes bibliographical references and index. | ||
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| 650 | 0 | |a Computational linguistics. | |
| 650 | 0 | |a Semantics, Historical. | |
| 650 | 7 | |a Computational linguistics |2 fast | |
| 650 | 7 | |a Semantics, Historical |2 fast | |
| 700 | 1 | |a Tahmasebi, Nina, |e editor. | |
| 700 | 1 | |a Borin, Lars, |e editor. | |
| 700 | 1 | |a Jatowt, Adam, |e editor. | |
| 700 | 1 | |a Xu, Yang, |d 1987- |e editor. | |
| 700 | 1 | |a Hengchen, Simon, |e editor. | |
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| 830 | 0 | |a Language variation ; |v 6. | |
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