Statistical machine translation (SMT) was a machine translation approach, that superseded the previous, rule-based approach because it required explicit...

Machine translation is use of computational techniques to translate text or speech from one language to another, including the contextual, idiomatic and...

when statistical machine translation was prevalent, some works used neural methods to replace various parts in the statistical machine translation while...

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 Rule-based machine translation Comparison of machine translation applications Statistical machine translation Artificial...

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

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...

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

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

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

database Some of the production system design and statistical machine translation system for Google Translate Bigtable, a large-scale semi-structured storage...

and researcher in the field of machine translation. His primary research interest is statistical machine translation and he is one of the inventors of...

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

suffers from many problems of normal statistical machine translation, namely that the accuracy of the translation will depend heavily on the similarity...

models used in statistical machine translation to train a translation model and an alignment model, starting with lexical translation probabilities and...

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

translation time. In 2016, Google Translate was revamped to Google Neural Machine Translation, which replaced the previous model based on statistical...

applications. Logic translation Translate a text from a natural language into formal logic. Machine translation (MT) Automatically translate text from one human...

Moses is a statistical machine translation engine that can be used to train statistical models of text translation from a source language to a target...

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

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

translation an adequate method for the assessment of machine translation systems. Koehn, Philipp (2005): "Europarl: A Parallel Corpus for Statistical...

(2016-2021) Thesis Smaller, Faster, and Accurate Models for Statistical Machine Translation  (2014) Doctoral advisor David Chiang Liang Huang Website https://www...

usability of machine translation software output. Do repeated translations converge on a single expression in both languages? I.e. does the translation method...

machine translation Second language Self-translation Semantic equivalence (linguistics) Skopos theory Sound symbolism Statistical machine translation...

inexpensive metrics. Because machine translation is based on statistical algorithms rather than human translators, the automatic translations it produces are not...

rule-based machine translation (RbMT) technology. With the release of SYSTRAN Server 7 in 2010, SYSTRAN implemented a hybrid rule-based/statistical machine translation...

in the field because of its application to automated reasoning, machine translation, question answering, news-gathering, text categorization, voice-activation...

translation time. In 2016, Google Translate was revamped to Google Neural Machine Translation, which replaced the previous model based on statistical...

on Google's machine translation project. The research allowed Google to overhaul Google Translate into Google Neural Machine Translation in 2016. Tomáš...