Results 221 to 230 of about 33,558 (268)
Editorial: Digital technologies in hepatology: diagnosis, treatment, and epidemiological insights. [PDF]
Front Med (Lausanne)Huang C.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
MACHINE TRANSLATION AND MACHINE‐AIDED TRANSLATION
Journal of Documentation, 1978The recent report for the Commission of the European Communities on current multilingual activities in the field of scientific and technical information and the 1977 conference on the same theme both included substantial sections on operational and experimental machine translation systems, and in its Plan of action the Commission announced its ...
openaire +1 more source
Evaluation of machine translation
Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11, 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
Machine Translation For Machines
2021Traditionally, Machine Translation (MT) systems are developed by targeting fluency (i.e. output grammaticality) and adequacy (i.e. semantic equivalence with the source text) criteria that reflect the needs of human end-users. However, recent advancements in Natural Language Processing (NLP) and the introduction of NLP tools in commercial services have ...
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
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 +1 more source
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 +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