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A state-of-the-art of semantic change computation

Published online by Cambridge University Press:  18 June 2018

XURI TANG Open the ORCID record for XURI TANG [Opens in a new window]
XURI TANG*
Affiliation:
School of Foreign Languages, Huazhong University of Science and Technology, Wuhan, China e-mail: xrtang@hust.edu.cn
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Abstract

This paper reviews the state-of-the-art of one emergent field in computational linguistics—semantic change computation. It summarizes the literature by proposing a framework that identifies five components in the field: diachronic corpus, diachronic word sense characterization, change modelling, evaluation and data visualization. Despite its potentials, the review shows that current studies are mainly focused on testifying hypotheses of semantic change from theoretical linguistics and that several core issues remain to be tackled: the need of diachronic corpora for languages other than English, the comparison and development of approaches to diachronic word sense characterization and change modelling, the need of comprehensive evaluation data and further exploration of data visualization techniques for hypothesis justification.

Type
Survey Paper
Information
Natural Language Engineering , Volume 24 , Issue 5 , September 2018 , pp. 649 - 676
Copyright
Copyright © Cambridge University Press 2018 

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Footnotes

The author is much obliged to the three anonymous reviewers for their inspiring comments that have helped improve the paper.s readability and comprehensiveness. This research is supported by the Fund of Chinese Natural Science (Grant 61772278) and Innovation Fund of Huazhong University of Science and Technology (Grant 2018WKZDJC003).

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