The mix of native language with other languages (code-mixing) in social media has posed a
severe challenge for language identification (LID) systems. It has encouraged research on …

Indians and many other non-English speakers across the world, prefer not to use single
code in their messaging texts on social media platforms. They make use of transliteration …

Language identification (" LI") is the problem of determining the natural language that a
document or part thereof is written in. Automatic LI has been extensively researched for over …

Code-switching, the alternation of languages within a conversation or utterance, is a
common communicative phenomenon that occurs in multilingual communities across the …

We present an overview of the second shared task on language identification in code-
switched data. For the shared task, we had code-switched data from two different language …

Social media users have the proclivity to write majority of the data for under resourced
languages in code-mixed format. Code-mixing is defined as mixing of two or more …

While growing code-mixed content on Online Social Networks (OSN) provides a fertile
ground for studying various aspects of code-mixing, the lack of automated text analysis tools …

Curriculum learning strategies are known to improve the accuracy, robustness and
convergence rate for various language learning tasks using deep architectures (Bengio et …

Social media messages' brevity and unconventional spelling pose a challenge to language
identification. We introduce a hierarchical model that learns character and contextualized …

The extraction of anglicisms (lexical borrowings from English) is relevant both for
lexicographic purposes and for NLP downstream tasks. We introduce a corpus of European …