Relative clause based text simplification for improved English to Hindi translation

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.

Recognition of Street View Images and Languages and Converting It Into User Understandable Format

“…Burcu kir et al [6] used artificial neural network for feature extraction. Sandeep Saini et al [7] used parsing for clause detection and text simplification for improved Hindi to English translation. Rekha S. Sugandhi et al [8] used parser to avoid grammatical mistakes during translation.…”