The rise of social media has brought computational linguistics in ever-closer contact with
bad language: text that defies our expectations about vocabulary, spelling, and syntax. This …

Background: Natural Language Processing (NLP) methods are increasingly being utilized to
mine knowledge from unstructured health-related texts. Recent advances in noisy text …

Twitter provides access to large volumes of data in real time, but is notoriously noisy,
hampering its utility for NLP. In this paper, we target out-of-vocabulary words in short text …

Microblogs as a new textual domain offer a unique proposition for sentiment analysis. Their
short document length suggests any sentiment they contain is compact and explicit …

Code-mixing is frequently observed in user generated content on social media, especially
from multilingual users. The linguistic complexity of such content is compounded by …

Abstract Machine learning, including neural network techniques, have been applied to
virtually every domain in natural language processing. One problem that has been …

Twitter provides access to large volumes of data in real time, but is notoriously noisy,
hampering its utility for NLP. In this article, we target out-of-vocabulary words in short text …

Colloquial Indonesian Lexicon Page 1 Colloquial Indonesian Lexicon Nikmatun Aliyah
Salsabila∗‡, Yosef Ardhito Winatmoko† Ali Akbar Septiandri∗, Ade Jamal∗ ∗Faculty of …

Microblog normalisation methods often utilise complex models and struggle to differentiate
between correctly-spelled unknown words and lexical variants of known words. In this …

Social media language contains huge amount and wide variety of nonstandard tokens,
created both intentionally and unintentionally by the users. It is of crucial importance to …