Automatic Language Identification

Nejla Qafmolla
Additional contact information
Nejla Qafmolla: Tirana University, Faculty of Foreign Languages, English Department - Tirana, Albania

European Journal of Language and Literature Studies Articles, 2017, vol. 3

Abstract: Automatic Language Identification (LID) is the process of automatically identifying the language of spoken utterance or written material. LID has received much attention due to its application to major areas of research and long-aspired dreams in computational sciences, namely Machine Translation (MT), Speech Recognition (SR) and Data Mining (DM). A considerable increase in the amount of and access to data provided not only by experts but also by users all over the Internet has resulted into both the development of different approaches in the area of LID - so as to generate more efficient systems - as well as major challenges that are still in the eye of the storm of this field. Despite the fact that the current approaches have accomplished considerable success, future research concerning some issues remains on the table. The aim of this paper shall not be to describe the historic background of this field of studies, but rather to provide an overview of the current state of LID systems, as well as to classify the approaches developed to accomplish them. LID systems have advanced and are continuously evolving. Some of the issues that need special attention and improvement are semantics, the identification of various dialects and varieties of a language, identification of spelling errors, data retrieval, multilingual documents, MT and speech-to-speech translation. Methods applied to date have been good from a technical point of view, but not from a semantic one.

Keywords: Human Language Technologies; Automatic Language Identification (LID); Data Mining (DM); Spoken Language Identification (SLID); Written Language Identification (WLID) (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://brucol.be/index.php/ejls/article/view/8350 (text/html)
https://brucol.be/files/articles/ejls_v3_i1_17/Nejla.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eur:ejlsjr:102

DOI: 10.26417/ejls.v7i1.p140-150

Access Statistics for this article

More articles in European Journal of Language and Literature Studies Articles from Revistia Research and Publishing
Bibliographic data for series maintained by Revistia Research and Publishing ().