TYPICAL ERRORS WHEN USING A MACHINE TRANSLATION SYSTEM “GOOGLE TRANSLATE”
نویسندگان
چکیده
منابع مشابه
On the Translation Quality of Google Translate: With a Concentration on Adjectives
Translation, whose first traces date back at least to 3000 BC (Newmark, 1988), has always been considered time-consuming and labor-consuming. In view of this, experts have made numerous efforts to develop some mechanical systems which can reduce part of this time and labor. The advancement of computers in the second half of the twentieth century paved the ground for the invention of machine tra...
متن کاملUsing Example-Based Machine Translation to translate DVD Subtitles
Audiovisual Translation (AVT), and in particular subtitling, has been recognised as an area that could potentially benefit from the introduction of machine translation (followed by post-editing) [1],[2],[10],[15],[27],[28]. In recent years the demands on subtitlers have increased, while the payment to subtitlers and time allotted to produce the subtitles have both decreased. Therefore this mark...
متن کاملA Hybrid Machine Translation System Based on a Monotone Decoder
In this paper, a hybrid Machine Translation (MT) system is proposed by combining the result of a rule-based machine translation (RBMT) system with a statistical approach. The RBMT uses a set of linguistic rules for translation, which leads to better translation results in terms of word ordering and syntactic structure. On the other hand, SMT works better in lexical choice. Therefore, in our sys...
متن کاملon the translation quality of google translate: with a concentration on adjectives
translation, whose first traces date back at least to 3000 bc (newmark, 1988), has always been considered time-consuming and labor-consuming. in view of this, experts have made numerous efforts to develop some mechanical systems which can reduce part of this time and labor. the advancement of computers in the second half of the twentieth century paved the ground for the invention of machine tra...
متن کاملNeural Machine Translation by Jointly Learning to Align and Translate
Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at building a single neural network that can be jointly tuned to maximize the translation performance. The models proposed recently for neural machine translation often belong to a family of encoder–decoders and encode a s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Humanitarian University Herald. Philology
سال: 2019
ISSN: 2409-1154
DOI: 10.32841/2409-1154.2019.43.4.12