Relative clause based text simplification for improved English to Hindi translation. Saini, S., Sehgal, U., & Sahula, V. In 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pages 1479-1484, 8, 2015. IEEE. Paper Website doi abstract bibtex Language translation is one of the most research and development oriented topic in today's world because of its increasing demand and application. Knowledge of grammar structure of source and target languages is must for translating one language to other. Clauses are an integral part of any language and helps in constructing complex sentences in different contexts. This complication leads to a low score of translation in almost every machine translation engine existing in the world. In this work, we are focusing on relative clause identification and extraction for text simplification. The generated simple sentences are then fed to the existing translation engines for translation. Link Parser based parsing techniques are used to parse the sentence tree. In this work we have focused on achieving better quality of English-Hindi translations. The proposed approach is tested manually on a sufficiently large dataset and shows promising and better translation score than the conventional approaches.
@inproceedings{
title = {Relative clause based text simplification for improved English to Hindi translation},
type = {inproceedings},
year = {2015},
keywords = {Computational Intelligence,Computers,Engines,English-to-Hindi language translation,Google,Grammar,Machine Translation,Manuals,Natural languages,Relative Clause identification,Syntactics,Text Simplification,grammar structure,language translation,link parser based parsing techniques,machine translation,relative clause,text analysis,text simplification},
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abstract = {Language translation is one of the most research and development oriented topic in today's world because of its increasing demand and application. Knowledge of grammar structure of source and target languages is must for translating one language to other. Clauses are an integral part of any language and helps in constructing complex sentences in different contexts. This complication leads to a low score of translation in almost every machine translation engine existing in the world. In this work, we are focusing on relative clause identification and extraction for text simplification. The generated simple sentences are then fed to the existing translation engines for translation. Link Parser based parsing techniques are used to parse the sentence tree. In this work we have focused on achieving better quality of English-Hindi translations. The proposed approach is tested manually on a sufficiently large dataset and shows promising and better translation score than the conventional approaches.},
bibtype = {inproceedings},
author = {Saini, Sandeep and Sehgal, Umang and Sahula, Vineet},
doi = {10.1109/ICACCI.2015.7275821},
booktitle = {2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)}
}
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