2026-04-04T18:21:52Zhttps://openaccess.uoc.edu/server/oai/requestoai:openaccess.uoc.edu:10609/772852025-05-21T09:24:02Zcom_10609_68com_10609_67col_10609_44762col_10609_92386
Repositori Institucional (O2)
author
Oliver, Antoni
author
Climent, Salvador
2018-05-04T09:21:31Z
2018-05-04T09:21:31Z
2012
http://hdl.handle.net/10609/77285
In this paper we present a methodology for WordNet construction
based on the exploitation of parallel corpora with semantic annotation
of the English source text. We are using this methodology for
the enlargement of the Spanish and Catalan versions of WordNet 3.0, but the methodology can also be used for other languages. As big parallel corpora with semantic annotation are not usually available, we explore two strategies to overcome this problem: to use monolingual sense tagged corpora and machine translation, on the one hand; and to use parallel
corpora and automatic sense tagging on the source text, on the other.
With these resources, the problem of acquiring a WordNet from parallel corpora can be seen as a word alignment task. Fortunately, this task is well known, and some aligning algorithms are freely available.
eng
lexical resources
wordnet
parallel corpora
machine translation
automatic sense tagging
Parallel corpora for WordNet construction: machine translation vs. automatic sense tagging
info:eu-repo/semantics/article
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