Rectifying Incorrectly Part of Speech-Tagged Polysemy Words in Kannada Language for Machine Translation
Abhay Desalli, Rani Venkata Satya Anirudh, N. Prajwal Pai, S. B. Rajeshwari, Jagadish S. Kallimani · Journal of Computational and Theoretical Nanoscience · 2020
Polysemy words refer to the same word, but have different context, when used in a single sentence, resulting in variant Part of Speech (POS). Occurrence of these Polysemy words, more than once, in a Kannada sentences, leads to ambiguity and is often cumbersome to translate it to English, due to incorrect interpretation of the sentence. The algorithm proposed is, concentrated on a few examples, which can identify the wrong POS-tagged word in a sentence. The POS tagged sentence is obtained as an input through Shallow parser, and then, by owing to the structure of Kannada language, the algorithm identifies the incorrectly tagged word.