Impact of Discourse in Modern AI based NLP Applications

Authors

  • Mitali Halde, Smitha Rao M Suresh

Abstract

While Machine Translation (MT) has traditionally considered isolated sentence for word-to-wordtranslation, to improve the translation further, a multi-gram language model felicitated through phrase-table with inter-linguae mappings to improve the accuracy of translations. But this neglects the context essence of collocated and coherent sentences. Thus, the incorporation of Discourse in Machine Translation plays a major role to improve translation. These incorporations of Discourse in MT have significant State-of-the-art application such as Text Extraction, Emotion extraction, Sentiment analysis etc. In this paper, we have an overview of Discourse and Discourse Relations. Also conducted an exhaustive research on the impact of discourse key application of Natural Language Processing (NLP).

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Published

2020-05-07

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Section

Articles