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

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, eva...

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Bibliographic Details
Published inNatural language engineering Vol. 24; no. 5; pp. 649 - 676
Main Author TANG, XURI
Format Journal Article
LanguageEnglish
Published Cambridge, UK Cambridge University Press 01.09.2018
Subjects
Computation
Computational linguistics
Diachronic linguistics
English language
Linguistics
Scientific visualization
Semantic change
Semantic fields
Semantics
State-of-the-art reviews
Survey Paper
Visualization
Word sense disambiguation
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Summary: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.
ISSN:1351-3249
1469-8110
DOI:10.1017/S1351324918000220