A Hybrid Approach for Word Alignment with Statistical Modeling and Chunker

Jyoti Srivastava,Sudip Sanyal

doi:10.1007/978-3-319-18111-0_43

A Hybrid Approach for Word Alignment with Statistical Modeling and Chunker

Jyoti Srivastava, Sudip Sanyal

https://doi.org/10.1007/978-3-319-18111-0_43

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Publication Date: Jan 1, 2015

Citations: 18

Affiliation: Indian Institute of Information Technology Allahabad

#Approximate Alignment #Word Alignment + Show 8 more

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Abstract

This paper presents a hybrid approach to improve word alignment with Statistical Modeling and Chunker for English-Hindi language pair. We first apply the standard word alignment technique to get an approximate alignment. The source and target language sentences are divided into chunks. The approximate word alignment is then used to align the chunks. The aligned chunks are then used to improve the original word alignment.

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