Normalization

. Misspellings, abbreviations and acronyms are very popular in clinical notes and can be an obstacle to high quality information extraction and classification. In addition, another important part of narrative …...

Compared to the edited genres that have played a central role in NLP research, mi- croblog texts use a more informal register with nonstandard lexical items, abbreviations, and free orthographic …...

The rise of social media has brought compu- tational linguistics in ever-closer contact with bad language: text that defies our expecta- tions about vocabulary, spelling, and syntax. This paper surveys …...

Short Messaging Service (SMS) has become a popular form of communication. While it is predominantly used for monolingual communication, it can be extremely useful for facilitating cross-lingual communication through statistical …...

Social media texts are often written in a non-standard style and include many lexical variants such as insertions, phonetic substitutions, abbreviations that mimic spoken language. The nor- malization of such …...

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 presence of spelling vari- ations, transliteration …...

This paper describes the SemEval-2014, Task 7 on the Analysis of Clinical Text and presents the evaluation results. It fo- cused on two subtasks: (i) identification (Task A) and (ii) …...

Unstructured clinical notes are rich sources for valuable patient information. Information extraction techniques can be employed to extract this valuable information, which in turn can be used to discover new …...

AbstractCurrent state-of-the-art speech synthesizers for domain-independent systems still struggle with the challenge of generating understandable and natural-sounding speech. This is mainly because the pronunciation of words of foreign origin, inflections …...

AbstractLanguage resources, such as corpora, are important for various natural language processing tasks. Urdu has millions of speakers around the world but it is under-resourced in terms of standard evaluation …...

AbstractThe field of machine translation faces an under-recognized problem because of inconsistency in the reporting of scores from its dominant metric. Although people refer to “the” BLEU score, BLEU is …...

With the growth of Internet usage, a massive amount of textual data is generated on social media and the Web. As the text on the Web are generated by different …...

AbstractCode-switching is a phenomenon of mixing grammatical structures of two or more languages under varied social constraints. The code-switching data differ so radically from the benchmark corpora used in NLP …...

Museums and other cultural heritage institutions have large databases of information about the objects in their collections, and existing Natural Language Generation (NLG) systems can generate fluent and adaptive texts …...

AbstractSocial media is a valuable data resource for various natural language processing (NLP) tasks. However, standard NLP tools were often designed with standard texts in mind, and their performance decreases …...

AbstractTexts written in Old Literary Finnish represent the first literary work ever written in Finnish starting from the 16th century. There have been several projects in Finland that have digitized …...