Statistical Analysis of Part of Speech (Pos) Tagging Algorithms for English Corpus
Swati Tyagi, Gouri Shankar Mishra · International journal of advance research, ideas and innovations in technology · 2016
Part of speech (POS) Tagging is the procedure of allocating the portion of speech tag or supplementary philological class signal to every single and every single word in a sentence. In countless Usual Speech Processing presentations such as word intellect disambiguation, data recovery, data grasping, analyzing, interrogating, and contraption clarification, POS tagging is imitated as the one of the frank obligatory tool. Categorizing the uncertainties in speech philological items is the mystifying goal in the procedure of growing an effectual and correct POS Tagger. n this paper we difference the presentation of a insufficient POS tagging methods for Bangla speech, e.g. statistical way (n-gram, HMM) and perception established approach. A supervised POS tagging way needs a colossal number of annotated training corpuses to tag properly. At this early period of POS-tagging for English. In this work we craft an earth truth set that encompasses tagged words from sampled corpus. We additionally investigated the presentation of POS taggers for disparate kinds of words.