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 …

Authorship Identification is the task of identifying who wrote a given piece of text from a given
set of candidate authors (suspects). The increasingly large volumes of texts on the Internet …

Dialect recognition is useful in many industrial sectors, par-ticularly with the aim of allowing
a better interaction between customers and providers. The core idea is to improve or …

Native language identification (NLI)–identifying the native language (L1) of a person based
on his/her writing in the second language (L2)–is useful for a variety of purposes, including …

The paper presents a hierarchical naive Bayesian and lexicon based classifier for short text
language identification (LID) useful for under resourced languages. The algorithm is …

One of the most popular topics that many researchers showed interest in recently is the
possibility of extracting the personal/demographic characteristics of the authors from their …

The interest in author profiling tasks has increased in the research community because
computer applications have shown success in different sectors such as security, marketing …

Native Language Identification (NLI) intends to classify an author's native language based
on their writing in another language. Historically, the task has heavily relied on time …

Bahasa yang menjadi ciri khas dan unik dalam lingkungan tertentu, termasuk bahasa yang
dipakai oleh kaum Waria atau Banci yang memiliki kekhasan tersendiri yang berbeda …

Native language identification (NLI)—the task of automatically identifying the native
language (L1) of persons based on their writings in the second language (L2)—is based on …