Corpus sp{\'e}cialis{\'e} et ressource de sp{\'e}cialit{\'e}

TL;DR

This paper presents a method using a mathematical and statistical model to visualize and create specialized dictionaries based on semantic relations within a domain-specific corpus, enhancing semantic navigation and linguistic analysis.

Contribution

It introduces a novel approach combining the Semantic Atlas model with morpho-syntactic analysis to automatically generate domain-specific semantic resources.

Findings

Effective visualization of word senses based on corpus relations

Automatic creation of specialized dictionaries from syntactic relations

Potential applications in semantic navigation and diachronic language studies

Abstract

"Semantic Atlas" is a mathematic and statistic model to visualise word senses according to relations between words. The model, that has been applied to proximity relations from a corpus, has shown its ability to distinguish word senses as the corpus' contributors comprehend them. We propose to use the model and a specialised corpus in order to create automatically a specialised dictionary relative to the corpus' domain. A morpho-syntactic analysis performed on the corpus makes it possible to create the dictionary from syntactic relations between lexical units. The semantic resource can be used to navigate semantically - and not only lexically - through the corpus, to create classical dictionaries or for diachronic studies of the language.