چکیده مقاله
Online machine translators provide users with translator models based on their previously incorporated corpus Different works have been done in this field yet machines have some deficiencies needing to improve The goal of this paper was to evaluate and compare two free translation machines which are Google https://translate google com/ and Targoman https://targoman ir/ in terms of translating English adverbs into Persian and suggest the more qualified machine It was done according to Doug Arnold’s quality assessment method which considers elements of intelligibility, accuracy, error analysis and test suit The study contained a test suite of 64 English sentences which were categorized based on the types of adverbs they included In some cases, Targoman was more similar to the acceptable or reference translation but in total, Google was more accurate in specifying the adverbs and could present more pleasing equivalences The ultimate correctness percentage of the translated adverbs of Google were 93 75% and this percentage for Targoman was 79 68% In some cases, the translated sentence was natural and acceptable in the target language Intelligible as Arnold says but having a partial view to the translation of adverb, it was not properly translated the element of accuracy or even vice versa Meanwhile, both machines were helpful in most of the cases alongside their problems
کلیدواژهها
نویسندگان
Samin Salajegheh
Allameh Tabataba’i University
شیوه ارجاع
Salajegheh, Samin,1401,Comparative assessment of Google and Targoman translation machines in terms of adverb translation from English to Persian,The 14th International Conference on Language, Literature, Culture and History
ارائهشده در
مجموعه مقالات چهاردهمین کنفرانس بین المللی زبان، ادبیات، فرهنگ و تاریخ22 اسفند 1401