slugOptimized Name Entity Recognition of Machine Translation
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 6
Abstract
Machine Translation is an important part of Natural Language Processing. Machine Translation refers to using machine to convert one natural language to another language. Machine transliteration for English to Punjabi and Hindi languages pair has been done by using statistical rule based approach. Various statistical rules are constructed with the help of syllabification approach. In this paper Name entity recognition (NER) techniques are explained and how they find name entity from the given input. Translation model check the accuracy of target sentences given the source sentence and decoder maximizes the probability of translated text of target language. We proposed a frame work for machine learning. In which we have make a NER model to find proper entities. In the first section introduction of natural language processing has been described. Second section explains machine translation and its approaches. Next section show how name entity can be recognized. In the next section represents the literature of all research. And at last proposed methodology has been explained.
Authors and Affiliations
Navneet Kaur Aulakh, Er. Yadwinder Kaur
Keywords
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