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A Study of Conceptual Language Similarity: Comparison and Evaluation

MCML Authors

Abstract

An interesting line of research in natural language processing (NLP) aims to incorporate linguistic typology to bridge linguistic diversity and assist the research of low-resource languages. While most works construct linguistic similarity measures based on lexical or typological features, such as word order and verbal inflection, recent work has introduced a novel approach to defining language similarity based on how they represent basic concepts, which is complementary to existing similarity measures. In this work, we study the conceptual similarity in detail and evaluate it extensively on a binary classification task.

misc


Preprint

May. 2023

Authors

H. YeY. LiuH. Schütze

Links


Research Area

 B2 | Natural Language Processing

BibTeXKey: YLS23

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