TED-MWE: a bilingual parallel corpus with MWE annotation: Towards a methodology for annotating MWEs in parallel multilingual corpora
Monti, Johanna Sangati, Federico Arcan, Mihael
Monti, Johanna
Sangati, Federico
Arcan, Mihael
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Publication Date
2015-12-03
Type
Conference Paper
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Citation
Monti, Johanna, Sangati, Federico, & Arcan, Mihael. (2015). TED-MWE: a bilingual parallel corpus with MWE annotation: Towards a methodology for annotating MWEs in parallel multilingual corpora. Paper presented at the Second Italian Conference on Computational Linguistics (CLiC-it 2015), Trento, Italy, 3-4 December.
Abstract
The translation of Multiword expressions (MWE) by Machine Translation (MT) represents a big challenge, and although MT has considerably improved in recent years, MWE mistranslations still occur very frequently. There is the need to develop large data sets, mainly parallel corpora, annotated with MWEs, since they are useful both for SMT training purposes and MWE translation quality evaluation. This paper describes a methodology to annotate a parallel spoken corpus with MWEs. The dataset used for this experiment is an English-Italian corpus extracted from the TED spoken corpus and complemented by an SMT output.
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Publisher
Accademia University Press
Publisher DOI
10.4000/books.aaccademia.1514
Rights
Attribution-NonCommercial-NoDerivs 3.0 Ireland