Implications of the Agreement Features in Machine Translation
نویسنده
چکیده
Concepts: love, hate, beauty Physical Objects: chair, tree, dog Living: dog, tree Non-living: chair, book Animate: man, dog Non-animate: tree, flower Human: man, woman Non-human: dog, snake
منابع مشابه
The Effect of Genre Awareness on English Translation Quality and Pedagogy: A Case of News Reports Translation as an Academic Curriculum
To produce an adequate translation, language students are required to learn varieties of language features including syntax, semantics and pragmatics. Considering the curriculum language learners are face with, one can claim that almost all language students in Iran are taught these features in their academic settings including linguistic courses. Yet, there are some aspects of language which a...
متن کاملA Comparative Study of English-Persian Translation of Neural Google Translation
Many studies abroad have focused on neural machine translation and almost all concluded that this method was much closer to humanistic translation than machine translation. Therefore, this paper aimed at investigating whether neural machine translation was more acceptable in English-Persian translation in comparison with machine translation. Hence, two types of text were chosen to be translated...
متن کاملManipulation of Ideology in Translation of Political Texts: A Criti-cal Discourse Analysis Perspective
As a culture-based phenomenon which involves both linguistic and social aspects, translation has been investigated from various perspectives. The present Critical Discourse Analysis (CDA)-based study is an attempt to probe into the manipulation of ideologies in translations of political texts. A CDA approach, based on Fairclough (1989), Van Dijk (2004) and Farahzad (2007), was adopted to conduc...
متن کاملتخمین اطمینان خروجی ترجمه ماشینی با استفاده از ویژگی های جدید ساختاری و محتوایی
Despite machine translation (MT) wide suc-cess over last years, this technology is still not able to exactly translate text so that except for some language pairs in certain domains, post editing its output may take longer time than human translation. Nevertheless by having an estimation of the output quality, users can manage imperfection of this tech-nology. It means we need to estimate the c...
متن کاملThe Correlation of Machine Translation Evaluation Metrics with Human Judgement on Persian Language
Machine Translation Evaluation Metrics (MTEMs) are the central core of Machine Translation (MT) engines as they are developed based on frequent evaluation. Although MTEMs are widespread today, their validity and quality for many languages is still under question. The aim of this research study was to examine the validity and assess the quality of MTEMs from Lexical Similarity set on machine tra...
متن کامل