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Mitigating problems in analogy-based EBMT with SMT and vice versa: a case study with named entity transliteration

Dandapat, Sandipan, Morrissey, Sara, Kumar Naskar, Sudip and Somers, Harold (2010) Mitigating problems in analogy-based EBMT with SMT and vice versa: a case study with named entity transliteration. In: the 24th Pacific Asia Conference on Language Information and Computation (PACLIC 2010), 4 - 7 November 2010, Sendai, Japan.

Five years ago, a number of papers reported an experimental implementation of an Example Based Machine Translation (EBMT) system using proportional analogy. This approach, a type of analogical learning, was attractive because of its simplicity; and the paper reported considerable success with the method using various language pairs. In this paper, we describe our attempt to use this approach for tackling English–Hindi Named Entity (NE) Transliteration. We have implemented our own EBMT system using proportional analogy and have found that the analogy-based system on its own has low precision but a high recall due to the fact that a large number of names are untransliterated with the approach. However, mitigating problems in analogy-based EBMT with SMT and vice-versa have shown considerable improvement over the individual approach.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:Example Based Machine Translation; Named Entity Translation
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:Research Institutes and Centres > Centre for Next Generation Localisation (CNGL)
Research Institutes and Centres > National Centre for Language Technology (NCLT)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16015
Deposited On:01 Jun 2011 13:39 by Shane Harper . Last Modified 19 Jul 2018 14:52

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