Abstract: In Telugu language sentence if we change the word order its meaning was not changed whereas in English if we change the word order the meaning was changed. So Telugu is morphologically rich so it is very difficult to develop syntactic parsers for these types of languages. To construct a dependency parser for such type of languages it will require a good morphology based Parts of Speech (POS) tagger. We used good POS tagger it has a good performance on Telugu sentences. The present work describes the steps to developing the dependency parser for the Telugu language. Bottom up approach was applied to a sentence for developing a dependency parser. Using this approach most of words were correctly assigned to its karakas and sentences were parsed correctly. The syntactic parser has many applications they are question-answering system, information retrieval, information extraction and language translation.
Publication Year: 2016
Publication Date: 2016-03-04
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 5
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