DCU-UVT: Word-Level Language Classification with Code-Mixed Data
Utsab Barman, Joachim Wagner, Grzegorz Chrupała, Jennifer Foster · 2014
This paper describes the DCU-UVT team's participation in the Language Identification in Code-Switched Data shared task in the Workshop on Computational Approaches to Code Switching.Wordlevel classification experiments were carried out using a simple dictionary-based method, linear kernel support vector machines (SVMs) with and without contextual clues, and a k-nearest neighbour approach.Based on these experiments, we select our SVM-based system with contextual clues as our final system and present results for the Nepali-English and Spanish-English datasets.