Literaturnachweis - Detailanzeige
Autor/inn/en | Azer, Haniyeh Sadeghi; Aghayi, Mohammad Bagher |
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Titel | An Evaluation of Output Quality of Machine Translation (Padideh Software vs. Google Translate) |
Quelle | In: Advances in Language and Literary Studies, 6 (2015) 4, S.226-237 (12 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 2203-4714 |
Schlagwörter | Computational Linguistics; Computer Software; Translation; Users (Information); Second Languages; Questionnaires; English; Indo European Languages; Scores; Evaluators; Statistical Analysis |
Abstract | 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. (As Provided). |
Anmerkungen | Australian International Academic Centre PTY, LTD. 11 Souter Crescent, Footscray VIC, Australia 3011. Tel: +61-3-9028-6880; e-mail: editor.alls@aiac.org.au; Web site: http://journals.aiac.org.au/index.php/alls/index |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |