Conference Proceedings


Andy Way
Jinhua Du
Eva Vanmassenhove



target language translation quality source language preprocessing subject verb agreement hybrid mt machine learning hybrid system statistical machine translation

Improving subject-verb agreement in SMT (2016)

Abstract Ensuring agreement between the subject and the main verb is crucial for the correctness of the information that a sentence conveys. While generating correct subject-verb agreement is relatively straightforward in rule-based approaches to Machine Translation (RBMT), today’s leading statistical Machine Translation (SMT) systems often fail to generate correct subject-verb agreements, especially when the target language is morphologically richer than the source language. The main problem is that one surface verb form in the source language corresponds to many surface verb forms in the target language. To deal with subject-verb agreement we built a hybrid SMT system that augments source verbs with extra linguistic information drawn from their source-language context. This information, in the form of labels attached to verbs that indicate person and number, creates a closer association between a verb from the source and a verb in the target language. We used our preprocessing approach on English as source language and built an SMT system for translation to French. In a range of experiments, the results show improvements in translation quality for our augmented SMT system over a Moses baseline engine, on both automatic and manual evaluations, for the majority of cases where the subject-verb agreement was previously incorrectly translated.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: ADAPT
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Machine learning

Full list of authors on original publication

Andy Way, Jinhua Du, Eva Vanmassenhove

Experts in our system

Andy Way
Dublin City University
Total Publications: 229
Jinhua Du
Dublin City University
Total Publications: 38
Eva Vanmassenhove
Dublin City University
Total Publications: 4