Publication Date:
2021
abstract:
Phraseological complexity plays a critical role in assessing the language competence level necessary to understand or produce text by a language learner and automated tools supporting international certifications for second languages. Appropriate syntactic-based parsing tools for pos/tagging texts are required to efficiently and correctly identify the components of phraseological units to apply computational and corpus-based measures. In this paper, we consider some of the main syntactic parsing tools publicly available for the Italian language and compare them in the framework of a project aiming at characterizing the phraseological complexity of a corpus produced by learners of Italian as a second language.
Iris type:
4.1 Contributo in Atti di convegno
Keywords:
Corpus-based measures; Parsing tools; Phraseological complexity; PoS tagging
List of contributors:
Milani, A.; Franzoni, V.; Biondi, G.
Book title:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)