Year: 2011
Type: conference-paper
Abstract: This paper describes the machine translation (MT) system developed by the Transducens Research Group, from Universitat d’Alacant, Spain, for the WMT 2011 shared translation task. We submitted a hybrid system for the Spanish–English language pair consisting of a phrase-based statistical MT system whose phrase table was enriched with bilingual phrase pairs matching transfer rules and dictionary entries from the Apertium shallow-transfer rule-based MT platform. Our hybrid system outperforms, in terms of BLEU, GTM and METEOR, a standard phrase-based statistical MT system trained on the same corpus, and received the second best BLEU score in the automatic evaluation.
Institution: University of Alicante
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: G147639052, G7834582467
OpenAlex ID: W2221864974