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Text typology and lexical problems in Arabic- English machine translation
Other Title(s)
نوع النص و المشاكل المعجمية في الترجمة الآلية من العربية إلى الإنكليزية
Joint Authors
Abd Allah, Yasir Najm
al-Sanjari, Luqman Abd al-Karim Nasir Khudayr
Source
Issue
Vol. 51, Issue 87 (31 Dec. 2021), pp.29-54, 26 p.
Publisher
University of Mosul College of Arts
Publication Date
2021-12-31
Country of Publication
Iraq
No. of Pages
26
Main Subjects
Languages & Comparative Literature
Topics
Abstract EN
This paper tackles the relationship between text typology and machine translation.
In this paper, the study is restricted to only one direction of translation that is from Arabic into English.
It aims at clarifying the different results of machine translation renditions due to different text types.
In theory, the paper gives a theoretical background on the topic.
Then, practically, in order to test the hypothesis of the research which says that text typology affects the degree of appropriates of renditions by machine translation, six functionally different texts (two of each informative, expressive and vocative texts) have been rendered from Arabic into English by machine translation (Google translate).
Then the percentage of errors in these renditions has been calculated for each text by comparing machine translation with professional human one.
The study concludes that that text typology affects the percentage of errors in MT in that fewer errors are noticed in vocative types compared with expressive and informative ones.
American Psychological Association (APA)
Abd Allah, Yasir Najm& al-Sanjari, Luqman Abd al-Karim Nasir Khudayr. 2021. Text typology and lexical problems in Arabic- English machine translation. Adab al-Rafidayn،Vol. 51, no. 87, pp.29-54.
https://search.emarefa.net/detail/BIM-1297939
Modern Language Association (MLA)
Abd Allah, Yasir Najm& al-Sanjari, Luqman Abd al-Karim Nasir Khudayr. Text typology and lexical problems in Arabic- English machine translation. Adab al-Rafidayn Vol. 51, no. 87 (2021), pp.29-54.
https://search.emarefa.net/detail/BIM-1297939
American Medical Association (AMA)
Abd Allah, Yasir Najm& al-Sanjari, Luqman Abd al-Karim Nasir Khudayr. Text typology and lexical problems in Arabic- English machine translation. Adab al-Rafidayn. 2021. Vol. 51, no. 87, pp.29-54.
https://search.emarefa.net/detail/BIM-1297939
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 49-53
Record ID
BIM-1297939