منابع مشابه
Some Linguistic Problems in Machine Translation
T HE GEORGETOWN-IBM EXPERIment in machine translation, in which I participated, raised a number of problems of linguistic method and threw light on some important phases of general linguistic theory. The purpose of machine translation (MT) is to have a logical machine perform a task which so far has been performed by skilled human beings only that of translation, that is, “the transference of m...
متن کاملLinguistic Bases for Machine Translation
Researchers in MT do not work with linguistic theories which are 'on vogue' today. The two special issues on MT of the journal Computational Linguistics (CL 1985) contain eight contributions of the leading teams. In the bibliography of these articles you don't find names like Chomsky, Montague, Bresnan, Gazdar, Kamp, Barwise, Perry etc.[2] Syntactic theories like GB, GPSG, LFG are not mentioned...
متن کاملMethods of Linguistic Analysis in Machine Translation
This paper is concerned with linguistic aspects of machine translation (MT), and specifically with the general methods that have been adopted for the analysis of texts. Most emphasis is given to techniques of syntactic analysis and to problems of semantic analysis. No full description is given of any particular MT system; but illustrations are taken from some of the most important past and pres...
متن کاملProblems of Machine Translation Evaluation
In this article we deal with general aspects of machine translation evaluation. We describe several commonly used methods of the evaluation and discuss their problems and shortcomings. Then we outline a few thoughts and ideas which try to solve mentioned problems and stand behind a design of a new method of machine translation evaluation.
متن کاملUsing Linguistic Knowledge in Statistical Machine Translation
In this thesis, we present methods for using linguistically motivated information to enhance the performance of statistical machine translation (SMT). One of the advantages of the statistical approach to machine translation is that it is largely languageagnostic. Machine learning models are used to automatically learn translation patterns from data. SMT can, however, be improved by using lingui...
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ژورنال
عنوان ژورنال: Universum: filologiâ i iskusstvovedenie
سال: 2023
ISSN: ['2311-2859', '2500-400X']
DOI: https://doi.org/10.32743/uniphil.2023.108.6.15686