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Hybrid, rule-based, statistical and neural machine translation [7] SYSTRAN: Cross-platform (web application) Proprietary software: $200 (desktop) – $15,000 and up (enterprise server) Version 7: No: 50+ Hybrid, rule-based, statistical machine translation and neural machine translation: Yandex.Translate: Cross-platform (web application) SaaS ...
[40] [41] [42] The quality of machine translation is substantially improved if the domain is restricted and controlled. [43] This enables using machine translation as a tool to speed up and simplify translations, as well as producing flawed but useful low-cost or ad-hoc translations.
A rendition of the Vauquois triangle, illustrating the various approaches to the design of machine translation systems.. The direct, transfer-based machine translation and interlingual machine translation methods of machine translation all belong to RBMT but differ in the depth of analysis of the source language and the extent to which they attempt to reach a language-independent ...
The project aimed to develop and improve machine translation ... Total cost of the project was 2 358 747 €, from which the European Union contributed 2 066 388 €. [5]
The use of crowdsourcing and text corpus in human-machine translation (HMT) within the last few years have become predominant in their area, [1] in comparison to solely using machine translation (MT). There have been a few recent academic journals looking into the benefits that using crowdsourcing as a translation technique could bring to the ...
Machine translation has major cost advantages as compared to human translation. In fields of technical communication where information is constantly changing, for example, the stock market or jobs related to the weather, the cost of paying a human translator to constantly update information would become quite expensive.
A translation management system (TMS), formerly globalization management system (GMS), is a type of software for automating many parts of the human language translation process and maximizing translator efficiency. The idea of a translation management system is to automate all repeatable and non-essential work that can be done by software ...
Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate.
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