Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/24654
Title: English-Turkish cognates and false cognates: Compiling a corpusand testing how they are translated by computer programs
Authors: Uludağ Üniversitesi/Eğitim Fakültesi/İngiliz Dili Eğitimi Bölümü.
0000-0002-2321-391X
0000-0002-5321-6556
Uzun, Levent
Salihoğlu, Umut Muharrem
I-6741-2019
57204349071
55588018000
Keywords: Bilingualism
Cognate
English
False cognate
Machine translation
Turkish
Interlingual homographs
Vocabulary acquisition
Word recognition
Learning-method
Language
L2
Interference
2nd-language
Learners
Forget
Linguistics
Issue Date: Dec-2009
Publisher: De Gruyter Mouton
Citation: Uzun, L. ve Salihoğlu, U. M. (2009). "English-Turkish cognates and false cognates: Compiling a corpusand testing how they are translated by computer programs". Poznan Studies in Contemporary Linguistics, 45(4), 569-593.
Abstract: Cognate status is one of the most complicated issues for those who deal with or are interested in linguistics. In the present study, we have provided a general overview related to this specific matter, and compiled a list of English-Turkish cognates and false cognates. According to the derived list, we determined that 2411 of English words, examined from among approximately 80,000 words, are either cognates or false cognates in Turkish. After determining the number of cognate and false cognate words, we tested and evaluated the correctness of the translations of three software programs and five websites that provide translation services using some of the cognates and false cognates from the derived list. Results suggest that cognate words are translated correctly in most sentences at lexical level, while false cognates and especially partial false cognates are mostly translated wrongly. Nevertheless, at sentential level, it is revealed that almost all sentences translated by computer are unsatisfactory, and need human correction.
URI: https://doi.org/10.2478/v10010-009-0031-5
https://www.degruyter.com/document/doi/10.2478/v10010-009-0031-5/html
http://hdl.handle.net/11452/24654
ISSN: 1897-7499
Appears in Collections:Scopus
Web of Science

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