Year: 2008
Type: conference-paper
Abstract: Code-switching is an interesting linguistic phenomenon commonly observed in highly bilingual communities.It consists of mixing languages in the same conversational event.This paper presents results on Part-of-Speech tagging Spanish-English code-switched discourse.We explore different approaches to exploit existing resources for both languages that range from simple heuristics, to language identification, to machine learning.The best results are achieved by training a machine learning algorithm with features that combine the output of an English and a Spanish Partof-Speech tagger.
Authors: Thamar Solorio, Yang Liu
Institution: The University of Texas at Dallas
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Funder: National Science Foundation
OpenAlex ID: W2145867197
