A survey of automatic Arabic diacritization techniques. (May 2015)
- Record Type:
- Journal Article
- Title:
- A survey of automatic Arabic diacritization techniques. (May 2015)
- Main Title:
- A survey of automatic Arabic diacritization techniques
- Authors:
- AZMI, AQIL M.
ALMAJED, REHAM S. - Abstract:
- <abstract abstract-type="normal"> <title>Abstract</title> <p>In Modern Standard Arabic texts are typically written without diacritical markings. The diacritics are important to clarify the sense and meaning of words. Lack of these markings may lead to ambiguity even for the natives. Often the natives successfully disambiguate the meaning through the context; however, many Arabic applications, such as machine translation, text-to-speech, and information retrieval, are vulnerable due to lack of diacritics. The process of automatically restoring diacritical marks is called diacritization or diacritic restoration. In this paper we discuss the properties of the Arabic language and the issues that are related to the lack of the diacritical marking. It will be followed by a survey of the recent algorithms that were developed to solve the diacritization problem. We also look into the future trend for researchers working in this area.</p> </abstract>
- Is Part Of:
- Natural language engineering. Volume 21:Part 3(2015)
- Journal:
- Natural language engineering
- Issue:
- Volume 21:Part 3(2015)
- Issue Display:
- Volume 21, Issue 3, Part 3 (2015)
- Year:
- 2015
- Volume:
- 21
- Issue:
- 3
- Part:
- 3
- Issue Sort Value:
- 2015-0021-0003-0003
- Page Start:
- 477
- Page End:
- 495
- Publication Date:
- 2015-05
- Subjects:
- Natural language processing (Computer science) -- Periodicals
Software engineering -- Periodicals
006.35 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=NLE ↗
- DOI:
- 10.1017/S1351324913000284 ↗
- Languages:
- English
- ISSNs:
- 1351-3249
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 3846.xml