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ERIC Number: EJ1127670
Record Type: Journal
Publication Date: 2015-Aug
Pages: 12
Abstractor: As Provided
ISSN: EISSN-2203-4714
An Evaluation of Output Quality of Machine Translation (Padideh Software vs. Google Translate)
Azer, Haniyeh Sadeghi; Aghayi, Mohammad Bagher
Advances in Language and Literary Studies, v6 n4 p226-237 Aug 2015
This study aims to evaluate the translation quality of two machine translation systems in translating six different text-types, from English to Persian. The evaluation was based on criteria proposed by Van Slype (1979). The proposed model for evaluation is a black-box type, comparative and adequacy-oriented evaluation. To conduct the evaluation, a questionnaire was assigned to end-users to evaluate the outputs to examine and determine, if the machine-generated translations are intelligible and acceptable from their point of view and which one of the machine-generated translations produced by Padideh software and Google Translate is more acceptable and useful from the end-users' point of view. The findings indicate that the machine-generated translations are intelligible and acceptable in translating certain text-types for end-users and Google Translate is more acceptable from end-users' point of view.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A