Work

MATREX: The DCU MT System for WMT 2010

Year: 2010

Type: other

Abstract: This paper describes the DCU machine translation system in the evaluation campaign of the Joint Fifth Workshop on Statistical Machine Translation and Metrics in ACL-2010. We describe the modular design of our multi-engine machine translation (MT) system with particular focus on the components used in this participation.\nWe participated in the English–Spanish and English–Czech translation tasks, in which we employed our multiengine\narchitecture to translate. We also participated in the system combination task which was carried out by the MBR\ndecoder and confusion network decoder.

Source: Arrow@dit (Dublin Institute of Technology)

Authors: Sergio Penkale, Rejwanul Haque, Sandipan Dandapat, Pratyush Banerjee, Ankit Kumar Srivastava, Jinhua Du, Pavel Pecina, Sudip Kumar Naskar, Mikel L. Forcada, Andy Way

Institution: Dublin City University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Universidad de Alicante, European Commission, Science Foundation Ireland, Dublin City University

Awards: G3546505122, CSET CNGL: Next Generation Localisation (CNGL), Integration of an existing rule-based open-source machine translation platform with efficient corpus-based machine translation modules and tools, Platform for Automatic, Normalized Annotation and Cost-Effective Acquisition of Language Resources for Human Language Technologies

OpenAlex ID: W2917029047

Cites: 29

Cited by: 41

Related to: 10