Results 251 to 260 of about 2,609,056 (293)
Some of the next articles are maybe not open access.
Evaluation of machine translation
Proceedings of the International Conference & Workshop on Emerging Trends in Technology, 2011Machine Translation (MT) refers to the use of a machine for performing translation task which converts text or speech from one Natural Language (NL) into another Natural Language. Machine Translation is an important technology for localization, and is particularly relevant in a linguistically diverse country like India.
Manisha Sharma, G. N. Purohit
openaire +1 more source
2015
The goal of machine translation (MT) is to translate text from one natural language to another. Linguistic properties of the languages involved, and rich morphology in particular, play an important role in the difficulty of the task. After a brief survey of history of MT and morphologically rich languages (MRLs), the whole ‘MT pipeline’ is introduced,
openaire +2 more sources
The goal of machine translation (MT) is to translate text from one natural language to another. Linguistic properties of the languages involved, and rich morphology in particular, play an important role in the difficulty of the task. After a brief survey of history of MT and morphologically rich languages (MRLs), the whole ‘MT pipeline’ is introduced,
openaire +2 more sources
Proceedings of the workshop on Speech and Natural Language - HLT '90, 1990
Machine translation (MT) remains the paradigm task for natural language processing (NLP) since its inception in the 1950s. Unless NLP can succeed with the central task of machine translation, it cannot be considered successful as a field. We maintain that the most profitable approach to MT at the present time is an interlingual and modular one.
Yorick Wilks +4 more
openaire +2 more sources
Machine translation (MT) remains the paradigm task for natural language processing (NLP) since its inception in the 1950s. Unless NLP can succeed with the central task of machine translation, it cannot be considered successful as a field. We maintain that the most profitable approach to MT at the present time is an interlingual and modular one.
Yorick Wilks +4 more
openaire +2 more sources
Journal of Intelligent & Fuzzy Systems, 2017
Machine Translation (MT) requires a large amount of linguistic resources, which leads current MT systems to leaving unknown words untranslated. This can be annoying for end users, as they might not understand at all such untranslated words. However, most language families share a common vocabulary, therefore this knowledge can be leveraged to produce ...
Luis A. Leiva, Vicent Alabau
openaire +2 more sources
Machine Translation (MT) requires a large amount of linguistic resources, which leads current MT systems to leaving unknown words untranslated. This can be annoying for end users, as they might not understand at all such untranslated words. However, most language families share a common vocabulary, therefore this knowledge can be leveraged to produce ...
Luis A. Leiva, Vicent Alabau
openaire +2 more sources
The outlook for machine translation
Papers presented at the May 3-5, 1960, western joint IRE-AIEE-ACM computer conference on - IRE-AIEE-ACM '60 (Western), 1960The idea of using electronic digital computers for language translation seems to have arisen about 1946; it was first brought to widespread attention in a memorandum by Warren Weaver in 1949. Today there are about a dozen projects in the United States devoted to machine translation, mostly translation from Russian to English.
openaire +2 more sources
Proceedings of the workshop on Speech and Natural Language - HLT '91, 1991
Whereas in the United States work in machine translation (MT) has only recently been reinstated as a 'respectable' natural language processing (NLP) application, it has long been considered a worthwhile and interesting topic for research and development in both Europe and Japan.
openaire +2 more sources
Whereas in the United States work in machine translation (MT) has only recently been reinstated as a 'respectable' natural language processing (NLP) application, it has long been considered a worthwhile and interesting topic for research and development in both Europe and Japan.
openaire +2 more sources
A SOMAgent for machine translation
Expert Systems with Applications, 2010This work describes a method that uses artificial neural networks, specially a self-organising map (SOM), to determine the correct meaning of a word. By using a distributed architecture, we take advantages of the parallelism in the different levels of the natural language processing system, for modeling a community of conceptually autonomous agents ...
Vivian F. López Batista +2 more
openaire +1 more source
2006
Machine translation – the use of computers to translate automatically among human languages – is an alluring prospect, one that for more than 50 years has fascinated researchers, inspired idealists and opportunists, and provoked unease among professional translators. This article gives a broad survey of this diverse and active field.
Isabelle, P., Foster, G.
openaire +2 more sources
Machine translation – the use of computers to translate automatically among human languages – is an alluring prospect, one that for more than 50 years has fascinated researchers, inspired idealists and opportunists, and provoked unease among professional translators. This article gives a broad survey of this diverse and active field.
Isabelle, P., Foster, G.
openaire +2 more sources
Statistical Machine Translation
2009The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two ...
openaire +2 more sources
Technologies for machine translation
Future Generation Computer Systems, 1986Abstract Advances in hardware have made available micro-coded LISP and PROLOG workstations, supported by text editing and formatting software. Some of these have been augmented with linguistic technology including large bilingual dictionaries, parsers, generators, and translators to make them powerful tools for research and development of automated ...
openaire +2 more sources