computer-aided translation
type: Concept
preferred label: υπολογιστικά υποβοηθούμενη μετάφραση @el
broader: machine translation

human aided machine translation
type: Concept
preferred label: ανθρωπίνως υποβοηθούμενη μηχανική μετάφραση @el
broader: machine translation

translation
type: Concept
preferred label: μετάφραση @el
narrower: machine translation

CLARIN:EL Dictionary
type: ConceptScheme
preferred label: Λεξικό CLARIN:EL @el

definition source
comment: Formal citation, e.g. identifier in external database to indicate / attribute source(s) for the definition. Free text indicate / attribute source(s) for the definition. EXAMPLE: Author Name, URI, MeSH Term C04, PUBMED ID, Wiki uri on 31.01.2007
label: πηγή ορισμού @el

machine translation support
type: Concept
preferred label: υποστήριξη μηχανικής μετάφρασης @el
broader: machine translation

machine translation
type: Concept
broader: translation
alternative label: ΜΜ @el
alternative label: computer translation
alternative label: MT
alternative label: automatic translation
alternative label: αυτόματη μετάφραση @el
alternative label: automated translation
preferred label: μηχανική μετάφραση @el
source: Γεωργούλη , Α. (χ.χ.). “Τεχνητή Νοημοσύνη” – Μια εισαγωγική προσέγγιση. Ανάκτηση από openbook.gr: https://www.openbook.gr/techniti-noimosyni/
definition: η μετάφραση ενός κειμένου από μια γλώσσα σε μια άλλη που πραγματοποιείται από λογισμικό χωρίς ανθρώπινη συμμετοχή @el
definition: the automatic translation of a text from one language into another performed by software without human involvement
narrower: computer-aided translation
narrower: machine translation support
narrower: human aided machine translation
in scheme: CLARIN:EL Dictionary
definition source: https://keras.io/examples/nlp/masked_language_modeling/
note: Machine Translation (MT) is the fully automatic translation from one human language into another one. Machine translation has been worked on since the 1950s. There are a number of commercial products available and in daily use, but there are still open research problems. Tranfer-based MT has a set of transfer rules for each language pair, so that n*(n-1) rule sets are necessary for MT between n languages. In contract, interlingua-based MT uses a language-independent representation into which all source languages are analysed and from which all target languages is generated. Most practically usable MT systems are tranfser-based. Recently, there have been interestinv developments in statistical MT algorithms which are trained on parallel corpora of translated texts, and are very useful for constructing MT systems for new language pairs.