RT Book,_Section
T1 Comparing two Basic Methods for Discriminating Between Similar Languages and Varieties
A1 Gamallo Otero, Pablo
A1 Pichel, José Ramom
A1 Alegria Loinaz, Iñaki
A1 Agirrezabal, Manex
K1 Language Identification
AB This article describes the systems submitted by the Citius Ixa Imaxin team to the Discriminating Similar Languages Shared Task 2016. The systems are based on two different strategies: classification with ranked dictionaries and Naive Bayes classifiers. The results of the evaluation show that ranking dictionaries are more sound and stable across different domains while basic bayesian models perform reasonably well on in-domain datasets, but their performance drops when they are applied on out-of-domain texts.
PB The COLING 2016 Organizing Committee
YR 2016
FD 2016-12-12
LK https://hdl.handle.net/10347/45043
UL https://hdl.handle.net/10347/45043
LA eng
NO Pablo Gamallo, Iñaki Alegria, José Ramom Pichel, and Manex Agirrezabal. 2016. Comparing Two Basic Methods for Discriminating Between Similar Languages and Varieties. In Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial3), pages 170–177, Osaka, Japan. The COLING 2016 Organizing Committee.
NO This work has been supported by TelePares project
NO imaxin software
DS Minerva
RD 24 abr 2026