Natural Language Identification and Translation Tool for Natural Language Processing
M. Hanumathappa, Vempada Ramu Reddy · 2012
The language identification problem refers to the task of deciding in which natural language a given text is written this is the one of the major challenge in the Natural Language Processing. Once the language being identified next translation is to be carried out. Translation is the communication of the meaning of a source-language text by means of an equivalent target-language text. Whereas interpreting undoubtedly antedates writing, translation began only after the appearance of written literature. In this paper we are presenting the modules for identification and translation of English to Indian languages or Indian Interlingual Languages here particularly for English, Kannada and Telugu. We have analyzed the Morphology of each language for translating a text from source language to target language. To test these modules we have build our own morphological analyzer and generator, part of speech tagger, and designed virtual keyboards for Transliteration and Translation with the help of BUBShabdasagar-2011 Bilingual dictionary which consist around 20,000 words.