Towards the Automatic Extraction of Static Spatial Structures for French
Vers une Extraction Automatique de Structures Spatiales Statiques pour le Français
Résumé
Basic Locative Structures (BLCs) have long served as a controlled framework for investigating space in language and cognition. Recently, (Viechnicki et al., 2024) proposed an automatic BLC extraction method from parallel corpora using English as the pivot language. In this study, we adapt and apply this methodology to the EN80Jours parallel corpus, with French serving as the pivot language. By combining syntactic and lexical pattern searches with few-shot learning using Pretrained Language Models to filter for spatial expressions, we achieve precise retrieval of a refined set of locative constructions. Finally, we make initial observations of the inter-linguistic variability of spatial markers within BLCs by aligning French spatial markers with their German and English counterparts. This preliminary analysis highlights challenges in aligning BLCs across languages and suggests the need for further exploration of linguistic variations and the integration of lexical rules to refine classification.
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