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English-Hindi transliteration using context-informed PB-SMT: the DCU system for NEWS 2009

Haque, Rejwanul and Dandapat, Sandipan and Srivastava, Ankit Kumar and Naskar, Sudip Kumar and Way, Andy (2009) English-Hindi transliteration using context-informed PB-SMT: the DCU system for NEWS 2009. In: NEWS 2009 - Named Entities Workshop, 7 August 2009, Singapore.

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This paper presents English—Hindi transliteration in the NEWS 2009 Machine Transliteration Shared Task adding source context modeling into state-of-the-art log-linear phrase-based statistical machine translation (PB-SMT). Source context features enable us to exploit source similarity in addition to target similarity, as modelled by the language model. We use a memory-based classification framework that enables efficient estimation of these features while avoiding data sparseness problems.We carried out experiments both at character and transliteration unit (TU) level. Position-dependent source context features produce significant improvements in terms of all evaluation metrics.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Uncontrolled Keywords:transliteration; English; Hindi;
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Association for Computational Linguistics
Official URL:
Copyright Information:©2009 ACL and AFNLP
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, SFI 07/CE/I1142
ID Code:15185
Deposited On:16 Feb 2010 11:17 by DORAS Administrator. Last Modified 16 Feb 2017 10:56

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