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mar. 03/07/2018 ANNULEE!! On automatic creation of lexical semantic questionnaires
10h00-12h00
ISH, salle Ennat Léger
Conférence de :
  • Denis Paperno (LORIA)
dans le cadre HELAN2

ANNULEE!! We propose creating questionnaires for lexical typology (in the spirit of Rakhilina and Reznikova 2016) in an automatized fashion. We evaluate our system on questionnaire creation for 'smooth', 'sharp', 'thick', and 'straight' (object features often but not always expressed by adjectives), and perform a quantitative and qualitative analysis of the results. Our algorithm consists of the following steps: 1) extracting a list of frequent phrases, or bigrams, of the form “adjective + noun”; 2) computing a co-occurrence-based vector representation for every noun phrase; 3) clustering the vector space; 4) extracting three core elements from the each cluster while eliminating all clusters containing less than three elements. This algorithm allows revealing semantic oppositions that indeed are typologically relevant. For example, many languages distinguish lexically ‘sharp edges (e.g. knives)’ and ‘sharp points (e.g. arrows)’, having two distinct adjectives with the meaning ‘sharp’: one for the first sense, another for the second one (compare tranchant/aiguisé vs. pointu in French). There is no such distinction in Russian; still, Russsian noun phrases illustrating these context types fall into two different clusters (ostryj nož ‘sharp knife’, ostryj nožik ‘sharp little knife’, ostroje lezvije ‘sharp blade’ vs. ostraja strela ‘sharp arrow’, ostroje kop’ë ‘sharp spear’, ostryj kamen’ ‘sharp stone’).


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