NDLI: A Comparative Study of "Google Translate" Translations: An Error Analysis of English-to-Persian and Persian-to-English Translations

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A Comparative Study of "Google Translate" Translations: An Error Analysis of English-to-Persian and Persian-to-English Translations

Content Provider	ERIC
Author	Ghasemi, Hadis Hashemian, Mahmood
Abstract	Both lack of time and the need to translate texts for numerous reasons brought about an increase in studying machine translation with a history spanning over 65 years. During the last decades, Google Translate, as a statistical machine translation (SMT), was in the center of attention for supporting 90 languages. Although there are many studies on Google Translate, few researchers have considered Persian-English translation pairs. This study used Keshavarz's (1999) model of error analysis to carry out a comparison study between the raw English-Persian translations and Persian-English translations from Google Translate. Based on the criteria presented in the model, 100 systematically selected sentences from an interpreter app called Motarjem Hamrah were translated by Google Translate and then evaluated and brought in different tables. Results of analyzing and tabulating the frequencies of the errors together with conducting a chi-square test showed no significant differences between the qualities of Google Translate from English to Persian and Persian to English. In addition, lexicosemantic and active/passive voice errors were the most and least frequent errors, respectively. Directions for future research are recognized in the paper for the improvements of the system.
Related Links	https://files.eric.ed.gov/fulltext/EJ1089886.pdf
Ending Page	17
Starting Page	13
ISSN	19164742
Journal	English Language Teaching
Issue Number	3
Volume Number	9
Language	English
Publisher	Canadian Center of Science and Education
Publisher Date	2016-01-01
Access Restriction	Open
Subject Keyword	Translation Indo European Languages Second Languages English Language Research Comparative Analysis Contrastive Linguistics Sentences Error Analysis (Language) Statistical Analysis Semantics Error Patterns Sentence Structure
Content Type	Text
Resource Type	Article
Subject	1200/1203 Education Linguistics and Language

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