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Multilingual static embeddings for Verbal Multiword Expressions trained on PARSEME raw corpora

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Estève, Louis Clément; Savary, Agata and Lavergne, Thomas, 2024, Multilingual static embeddings for Verbal Multiword Expressions trained on PARSEME raw corpora, LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), http://hdl.handle.net/11234/1-5528.

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Authors

Estève, Louis Clément ; Savary, Agata and Lavergne, Thomas

Item identifier

http://hdl.handle.net/11234/1-5528

Project URL

https://gitlab.com/parseme/corpora

Date issued

2024-06-07

Type

lexicalConceptualResource,

Size

44412316 entries,

17267 multiWordUnits

Language(s)

Modern Greek (1453-),

Description

This resource is a set of 14 vector spaces for single words and Verbal Multiword Expressions (VMWEs) in different languages (German, Greek, Basque, French, Irish, Hebrew, Hindi, Italian, Polish, Brazilian Portuguese, Romanian, Swedish, Turkish, Chinese). They were trained with the Word2Vec algorithm, in its skip-gram version, on PARSEME raw corpora automatically annotated for morpho-syntax (http://hdl.handle.net/11234/1-3367). These corpora were annotated by Seen2Seen, a rule-based VMWE identifier, one of the leading tools of the PARSEME shared task version 1.2. VMWE tokens were merged into single tokens. The format of the vector space files is that of the original Word2Vec implementation by Mikolov et al. (2013), i.e. a binary format. For compression, bzip2 was used.

Publisher

Université Paris-Saclay, CNRS, Laboratoire Interdisciplinaire des Sciences du Numérique

Acknowledgement

Subject(s)

verbal multiword expressions

word embeddings

Collections

LINDAT / CLARIAH-CZ Data & Tools

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This item isPublicly Available

and licensed under:

PARSEME Shared Task Raw Corpus Data (v. 1.2) Agreement

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