Machine translation is use of either rule-based or probabilistic (i.e. statistical and, most recently, neural network-based) machine learning approaches...

Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence...

Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language...

Example-based machine translation Google Translate Hybrid machine translation Microsoft Translator Moses (machine translation), free software Rule-based machine translation...

Google Neural Machine Translation system (GNMT) was introduced. Since then, Google Translate began using neural machine translation (NMT) in preference...

Computer-aided translation (CAT), also referred to as computer-assisted translation or computer-aided human translation (CAHT), is the use of software...

unequivocal. In the context of machine translation, a back-translation is also called a "round-trip translation." When translations are produced of material...

usability evaluation. A typical way for lay people to assess machine translation quality is to translate from a source language to a target language and back...

Machine translation is a sub-field of computational linguistics that investigates the use of software to translate text or speech from one natural language...

Interlingual machine translation is one of the classic approaches to machine translation. In this approach, the source language, i.e. the text to be translated is...

Literal translation, direct translation, or word-for-word translation is a translation of a text done by translating each word separately without looking...

Yandex.Translate switched to a hybrid approach incorporating both statistical machine translation and neural machine translation models. The translation page...

Rule-based machine translation (RBMT; "Classical Approach" of MT) is machine translation systems based on linguistic information about source and target...

Hybrid machine translation is a method of machine translation that is characterized by the use of multiple machine translation approaches within a single...

approach to machine translation is probably the least sophisticated, dictionary-based machine translation is ideally suitable for the translation of long...

machine translation, including statistical machine translation, also use bilingual corpora to learn the process of translation. Example-based machine...

Both transfer-based and interlingua-based machine translation have the same idea: to make a translation it is necessary to have an intermediate representation...

Machine translation is an algorithm which attempts to translate text or speech from one natural language to another. Basic general information for popular...

line-by-line translation into machine language. There are many commonly used assemblers in the world of computing that conduct the translation process. The...

Interactive machine translation (IMT), is a specific sub-field of computer-aided translation. Under this translation paradigm, the computer software that...

Machine translation in China is the history of machine translation systems developed in China. China became the fourth country that began machine translation...

Lamb (11 Mar 2019). "Assessing Gender Bias in Machine Translation – A Case Study with Google Translate". arXiv:1809.02208 [cs.CY]. Narayanan, Arvind (August...

softmax-based attention mechanism proposed by Bahdanau et. al. in 2014 for machine translation, and the Fast Weight Controller, similar to a transformer, proposed...

people. Sign language translation technologies are limited in the same way as spoken language translation. None can translate with 100% accuracy. In...

is one of the major languages that have been given attention by machine translation (MT) researchers since the very early days of MT and specifically...

in a famous 1966 report, that machine translation was more expensive, less accurate and slower than human translation. After spending some 20 million...

previously been translated, in order to aid human translators. The translation memory stores the source text and its corresponding translation in language...

timeline of machine translation. For a more detailed qualitative account, see the history of machine translation page. Timeline of machine learning Hutchins...

Machine Translations is the performing name of Greg James Walker (born 1967), an Australian singer, songwriter and multi-instrumentalist; who is also a...

a free software, statistical machine translation engine that can be used to train statistical models of text translation from a source language to a target...