Le sens de la famille : analyse du vocabulaire de la parent{\'e} par les plongements de mots

TL;DR

This paper analyzes the French family relationship vocabulary using word embeddings to understand how these terms relate and organize based on corpus data, revealing underlying semantic features.

Contribution

It introduces a corpus-based method using word embeddings to analyze the structured vocabulary of family relationships in French.

Findings

Distributional analysis captures features like descent, alliance, siblings, genre.

Vocabulary organization varies across different corpora.

Word embeddings reveal semantic relationships among family terms.

Abstract

In this study, we propose a corpus analysis of an area of the French lexicon that is both dense and highly structured: the vocabulary of family relationships. Starting with a lexicon of 25 nouns designating the main relationships (son, cousin, mother, grandfather, sister-in-law etc.), we examine how these terms are positioned in relation to each other through distributional analyses based on the use of these terms in corpora. We show that distributional information can capture certain features that organize this vocabulary (descent, alliance, siblings, genre), in ways that vary according to the different corpora compared.