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The research aims to improve collocation extraction methods for constructing a learners’ dictionary of Italian.

December 12, 2025ComputersOpen Access

Hybrid Methods for Automatic Collocation Extraction in Building a Learners’ Dictionary of Italian

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The research aims to improve collocation extraction methods for constructing a learners’ dictionary of Italian.
Analyzed collocation candidates from a 41.7-million-word Italian corpus.
Compared Part-Of-Speech-based, syntactic dependency-based, and Hybrid methods.
Conducted in-depth analysis of extracted dataset using statistical metrics.
Identified 2,097,595 potential collocations.
Hybrid method achieved 42.35% of total candidates with superior Recall and Benchmark Match.
Collocations classified by relevance, difficulty, and frequency for learner's use.

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Comparative study shows improved collocation extraction from corpora for Italian learners, indicating better language learning tools.

Perri et al. (2025) studied this question.

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