A survey of computational methods for understanding, generating, and manipulating human
language, which offers a synthesis of classical representations and algorithms with …

This paper presents the results of the news translation task, the multilingual low-resource
translation for Indo-European languages, the triangular translation task, and the automatic …

We propose a novel data augmentation approach to enhance computational behavioral
analysis using social media text. In particular, we collect a Twitter corpus of the descriptions …

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 …

In recent years, online social networking has revolutionized interpersonal communication.
The newer research on language analysis in social media has been increasingly focusing …

Abstract Language is a social phenomenon and variation is inherent to its social nature.
Recently, there has been a surge of interest within the computational linguistics (CL) …

Recent years have seen rapid growth in the deployment of statistical methods for
computational language and speech processing. The current popularity of such methods …

Abstract Language identification is the task of automatically detecting the language (s)
present in a document based on the content of the document. In this work, we address the …

Abstract Language identification (LID) is a critical first step for processing multilingual text.
Yet most LID systems are not designed to handle the linguistic diversity of global platforms …

We present an evaluation of “off-theshelf” language identification systems as applied to
microblog messages from Twitter. A key challenge is the lack of an adequate corpus of …