NLP–NITMZ:Part–of–Speech Tagging on Italian Social Media Text using Hidden Markov Model
Partha Pakray, Goutam Majumder · Accademia University Press eBooks · 2016
This paper describes our approach on Part-of-Speech tagging for Italian Social Media Texts (PoSTWITA), which is one of the task of EVALITA 2016 campaign. EVALITA is a evaluation campaign, where teams are participated and submit their systems towards the developing of tools related to Natural Language Processing (NLP) and Speech for Italian language. Our team NLP–NITMZ participated in the PoS tagging challenge for Italian Social Media Texts. In this task, total 9 team was participated and out of 4759 tags Team1 successfully identified 4435 tags and get the 1st rank. Our team get the 8th rank officially and we successfully identified 4091 tags as a accuracy of 85.96%.