Language Identification in Code-Switched Text Using Conditional Random Fields and Babelnet

Automatic Token and Turn Level Language Identification for Code-Switched Text Dialog: An Analysis Across Language Pairs and Corpora

We examine the efficacy of various feature{--}learner combinations for language identification in different types of text-based code-switched interactions {--} human-human dialog, human-machine dialog as well as monolog …

Named Entity Recognition on Code-Switched Data Using Conditional Random Fields

Named Entity Recognition is an important information extraction task that identifies proper names in unstructured texts and classifies them into some pre-defined categories. Identification of named entities in code-mixed…

Language Identification and Analysis of Code-Switched Social Media Text

In this paper, we detail our work on comparing different word-level language identification systems for code-switched Hindi-English data and a standard Spanish-English dataset. In this regard, we build a new code-switche…

Word-level Language Identification in Bi-lingual Code-switched Texts

Simple Features for Strong Performance on Named Entity Recognition in Code-Switched Twitter Data

In this work, we address the problem of Named Entity Recognition (NER) in code-switched tweets as a part of the Workshop on Computational Approaches to Linguistic Code-switching (CALCS) at ACL{'}18. Code-switching is the…