International Journal of Advanced Information Technology · 2013 · 29 citations · 9 references
ComputingComputer ScienceLinguisticsComputational LinguisticsNatural Language ProcessingText AnalyticsLanguage ModelingLanguage ModelsParsingPart-of-speech TaggingSpeech RecognitionSyntactic AnalysisStatistical Part-of-speech Tagging
In this paper we present a Marathipart of speech tagger. It is morphologically rich language. it is spoken by the native people of Maharashtra. The general approach used for development of tagger is statistical using Trigram Method. The main concept of Trigram is to explore the most likely POS for a token based on given information of previous two tags by calculating probabilities to determine whichthe best sequence of tag is. In this paper we show the development of the tagger. Moreover we have also shown the evaluation done.
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HMM Based POS Tagger for Hindi
Nisheeth Joshi, Hemant Darbari, Iti Mathur · 2013 · 60 citations · Full text
Tamil POS Tagging using Linear Programming
Dhanalakshmi, Soman KP · 2009 · 43 citations