- Knowledge-Based Machine Translation
- Abbreviation: KBMT
Универсальный русско-английский словарь. Академик.ру. 2011.
Универсальный русско-английский словарь. Академик.ру. 2011.
Example-based machine translation — The Example based machine translation (EBMT) approach to machine translation is often characterized by its use of a bilingual corpus with parallel texts as its main knowledge base, at run time. It is essentially a translation by analogy and can… … Wikipedia
Machine translation — Part of a series on Translation Types Language interpretation … Wikipedia
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 transformed into an interlingua, i.e., an abstract language independent representation. The target language is then… … Wikipedia
History of machine translation — The history of machine translation generally starts in the 1950s, although work can be found from earlier periods. The Georgetown experiment in 1954 involved fully automatic translation of more than sixty Russian sentences into English. The… … Wikipedia
Knowledge representation — is an area in artificial intelligence that is concerned with how to formally think , that is, how to use a symbol system to represent a domain of discourse that which can be talked about, along with functions that may or may not be within the… … Wikipedia
Translation — For other uses, see Translation (disambiguation). Translator redirects here. For other uses, see Translator (disambiguation). Contents 1 Etymology 2 Theory … Wikipedia
National Translation Mission — (NTM) is a Government of India initiative to make knowledge texts accessible, in all Indian languages listed in the VIII schedule of the Constitution, through translation. NTM was set up as per National Knowledge Commission s recommendation. The… … Wikipedia
Corpora in Translation Studies — Gradually the translator’s workplace has changed over the last ten years ago. And today computer could be considered an important or even essential tool in translation. However the computer doesn’t substitute traditional tools such as monolingual … Wikipedia
Wikipedia:Pages needing translation into English — Resources for maintenance and collaboration Cleanup … Wikipedia
Commonsense knowledge base — In artificial intelligence research, commonsense knowledge is the collection of facts and information that an ordinary person is expected to know. The commonsense knowledge problem is the ongoing project in the field of knowledge representation… … Wikipedia
Prior knowledge for pattern recognition — Pattern recognition is a very active field of research intimately bound to machine learning. Also known as classification or statistical classification, pattern recognition aims at building a classifier that can determine the class of an input… … Wikipedia