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 …

Abstract Language identification, as the task of determining the language a given text is
written in, has progressed substantially in recent decades. However, three main issues …

Documents written in natural language constitute a major part of the artefacts produced
during the software engineering life cycle. Studies indicate that more than 80% of enterprise …

In this paper we use a novel approach towards Arabic dialect identification using language
bivalency and written code-switching. Bivalency between languages or dialects is where a …

Overview of TweetLID: Tweet Language Identification at SEPLN 2014 Page 1 Overview of
TweetLID: Tweet Language Identification at SEPLN 2014 Introducción a TweetLID: Tarea …

Identifying the language of a text is an important step for several natural language
processing applications. State-of-the-art language identification (LID) systems perform very …

Micro-blogging sites like Twitter have become an opinion hub where views on diverse topics
are expressed. Interpreting, comprehending and analysing this emotion-rich information can …

Twitter is one of the most used social media with users generating about 1 million messages
per day. As a result of the expansion of this microblog, there is a diversity of languages used …

Language identification and content detection are essential for ensuring effective digital
communication, and content moderation. While extensive research has primarily focused on …

This investigation deals with the problem of language identification of noisy texts, which
could represent the primary step of many natural language processing or information …