How the corpus-based Basque Verb Index lexicon was built

• Published in: Language resources and evaluation Vol. 54; no. 1; pp. 73 - 95
• Main Authors: Estarrona, Ainara, Aldezabal, Izaskun, Díaz de Ilarraza, Arantza
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01-03-2020; Springer Nature B.V
• Subjects: Annotations; Basque language; Computational Linguistics; Computer Science; Corpus linguistics; Language; Language and Literature; Lexicon; Linguistics; Machine translation; Original Paper; Predicate; Semantic analysis; Semantics; Social Sciences; Syntax semantics relationship; Verbs; Valence; PropBank/VerbNet; Semantic roles; Lexicon; Predicate labelling
• ISSN: 1574-020X; 1574-0218
• DOI: 10.1007/s10579-018-9440-0

This article describes the method used to build the
Basque Verb Index
(BVI), a corpus-based lexicon. The BVI is the result of semiautomatic annotation of the EPEC corpus with verb predicate information, following the PropBank-VerbNet model. The method presented is the product of a deep study of the syntactic–semantic behaviour of verbs in EPEC-RolSem (the EPEC corpus tagged with verb predicate information). During the process of annotating EPEC-RolSem, we have identified and stored in the BVI lexicon the different role-patterns associated with all verbs appearing in the corpus. In addition, each entry in the BVI is linked to the corresponding verb entry in well-known resources such as PropBank, VerbNet, WordNet and FrameNet. We have also implemented a tool called
e
-
ROLda
to facilitate the process of looking up verb patterns in the BVI and examples in EPEC-RolSem as a basis for future studies.