Hybrid appraoch to English-Hindi name entity transliteration

Author

Mathur, Shruti ; Saxena, Varun Prakash

Author_Institution

Dept. of Comput. Eng., Gov. Women Eng. Coll., Ajmer, India

fYear

2014

fDate

1-2 March 2014

Firstpage

1

Lastpage

5

Abstract

Machine translation (MT) research in Indian languages is still in its infancy. Not much work has been done in proper transliteration of name entities in this domain. In this paper we address this issue. We have used English-Hindi language pair for our experiments and have used a hybrid approach. At first we have processed English words using a rule based approach which extracts individual phonemes from the words and then we have applied statistical approach which converts the English into its equivalent Hindi phoneme and in turn the corresponding Hindi word. Through this approach we have attained 83.40% accuracy.

Keywords

knowledge based systems; language translation; natural language processing; statistical analysis; English word processing; English-Hindi language pair; English-Hindi name entity transliteration; Hindi phoneme; Hindi word; Indian languages; MT research; machine translation; phoneme extraction; rule based approach; statistical approach; Accuracy; Conferences; Educational institutions; Engines; Organizations; Probability; Random access memory; Hybrid Approach; Machine Transliteration; Name Entity; Phoneme Identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical, Electronics and Computer Science (SCEECS), 2014 IEEE Students' Conference on

Conference_Location

Bhopal

Print_ISBN

978-1-4799-2525-4

Type

conf

DOI

10.1109/SCEECS.2014.6804467

Filename

6804467