Multiple Uses of Machine Translation and Computerised Translation Tools
نویسنده
چکیده
For many years MT systems and tools were used principally for the production of good-quality translations: either MT in combination with controlled (restricted) input and/or with human post-editing; or computer-based translation tools by translators. Since 1990 the situation has changed. Corporate use of MT with human assistance has continued to expand (particularly in the area of localisation) and the use of translation aids has increased (particularly with the coming of translation memories). But the main change has been the ever expanding use of unrevised MT output, such as online translation services (Babel Fish, Google, etc.), applications in information extraction, document retrieval, intelligence analysis, electronic mail, and much more.
منابع مشابه
Translation Technology Tools and Professional Translators’ Attitudes toward Them
Today technology is an integral part of professional translation; and it is generally assumed that translators’ attitudes toward translation technology tools influence their interaction with technology (Bundgaard, 2017). Therefore, the present two-phase study seeks to shed some light on what translation technology tools are and how professional translators feel toward them. The research method ...
متن کاملA new model for persian multi-part words edition based on statistical machine translation
Multi-part words in English language are hyphenated and hyphen is used to separate different parts. Persian language consists of multi-part words as well. Based on Persian morphology, half-space character is needed to separate parts of multi-part words where in many cases people incorrectly use space character instead of half-space character. This common incorrectly use of space leads to some s...
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 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 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 کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009