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Yoshifumi Kawasaki

3 accepted papers

2024

A Computational Approach to Quantifying Grammaticization of English Deverbal Prepositions

COLING 2024main

This paper explores grammaticization of deverbal prepositions by a computational approach based on corpus data. Deverbal prepositions are words or phrases that are derived from a verb and that behave as a preposition such as “regarding” and “according to”. Linguistic studies have revealed important…

Cited by 0SourcePDFScholar
2023

Variance Matters: Detecting Semantic Differences without Corpus/Word Alignment

EMNLP 2023long main

In this paper, we propose methods for discovering semantic differences in words appearing in two corpora. The key idea is to measure the coverage of meanings of a word in a corpus through the norm of its mean word vector, which is equivalent to examining a kind of variance of the word vector distrib…

Cited by 0SourceScholar
2022

Revisiting Statistical Laws of Semantic Shift in Romance Cognates

COLING 2022main

This article revisits statistical relationships across Romance cognates between lexical semantic shift and six intra-linguistic variables, such as frequency and polysemy. Cognates are words that are derived from a common etymon, in this case, a Latin ancestor. Despite their shared etymology, some co…

Cited by 4SourcePDFScholar