Dear Sir,
I am in final stage of my PhD at Indian Institute of Technology Delhi. I
am working in Example based Machine Translation. I am looking for
postdoctoral position in Natural Language Processing.
In my research, I have worked on the following aspects of EBMT.
1.Resource development: I have manually created an annotated (parsing and
root word information) English-Hindi parallel data of about 4,000
sentences. For word and sentential alignment, I have further created
parallel database of 10,000 sentences.
2.Stuided word and sentential alignment , provided the improvements in
word alignment algorithm (DK-Vec and Somers algorithm)
3. Studied different similarity measurement techniques, and provided a new
approach of measuring similarity on the basis of Cost of adaptation.
4. Divergence
- New Categories of divergence have been identified for English to Hindi
Translation
-Identification of Divergence in corpora (rule based)
-Handling of divergence in input sentence for EBMT (using Word Net 2.0.,
WSD)
5. Handling of complex and compound sentences in EBMT.
I would appreciate if anyone can consider/suggest me about further
research opportunities.
Waiting for your positive response.
Thanking you.
With regards,
Deepa Gupta
Research Scholor
Department of Mathematics
Indian Institute of Technology, Delhi
Hauz Khas, New delhi-110016, INDIA
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