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Revisiting Statistical Laws of Semantic Shift in Romance Cognates
This article revisits statistical relationships across Romance cognates between lexical semantic shift and six intra-linguistic variables, such as frequency and polysemy.
Contextualized Word Vector-based Methods for Discovering Semantic Differences with No Training nor Word Alignment
In this paper, we propose methods for discovering semantic differences in words appearing in two corpora based on the norms of contextualized word vectors.
A POS Tagging Model Adapted to Learner English
Based on the discussion of possible causes of POS tagging errors in learner English, we show that deep neural models are particularly suitable for this.
Analyzing Semantic Change in Japanese Loanwords
We analyze semantic changes in loanwords from English that are used in Japanese (Japanese loanwords).
Discriminative Analysis of Linguistic Features for Typological Study
We address the task of automatically estimating the missing values of linguistic features by making use of the fact that some linguistic features in typological databases are informative to each other.
