Type

Conference Proceedings

Authors

Andy Way
Antonio Toral

Subjects

Linguistics

Topics
machine translating named entities rbmt acquisition english automatic rule based machine translation

Automatic acquisition of named entities for rule-based machine translation (2011)

Abstract This paper proposes to enrich RBMT dictionaries with Named Entities (NEs) automatically acquired from Wikipedia. The method is applied to the Apertium English–Spanish system and its performance compared to that of Apertium with and without handtagged NEs. The system with automatic NEs outperforms the one without NEs, while results vary when compared to a system with handtagged NEs (results are comparable for Spanish! English but slightly worst for English!Spanish). Apart from that, adding automatic NEs contributes to decreasing the amount of unknown terms by more than 10%.
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 -> Subject = Computer Science
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Machine translating
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing

Full list of authors on original publication

Andy Way, Antonio Toral

Experts in our system

1
Andy Way
Dublin City University
Total Publications: 229
 
2
Antonio Toral
Dublin City University
Total Publications: 18