Results 51 to 60 of about 341,942 (325)
Rule-Based Pronominal Anaphora Treatment for Machine Translation [PDF]
Proceedings of the Second Workshop on Discourse in Machine Translation, 2015 In this paper we describe the rule-based MT system Its-2 developed at the University of Geneva and submitted for the shared task on pronoun translation organized within the Second DiscoMT Workshop. For improving pronoun translation, an Anaphora Resolution (AR) step based on Chomsky’s Binding Theory and Hobbs’ algorithm has been implemented.
Sharid Loáiciga, Eric Wehrli
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Handling Challenges in Rule Based Machine Translation from Marathi to English
International Journal on Natural Language Computing, 2019 Machine translation is being carried out by the researchers from quite a long time. However, it is still a dream to materialize flawless Machine Translator and the small numbers of researchers has focussed at translating Marathi Text to English.
Namrata G. Kharate, Dr.Varsha H. Patil
semanticscholar +1 more source
How much hybridisation does machine translation need? [PDF]
, 2015 This is the peer reviewed version of the following article: [Costa-jussà, M. R. (2015), How much hybridization does machine translation Need?. J Assn Inf Sci Tec, 66: 2160–2165.
Ruiz Costa-Jussà, Marta
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MACHINE TRANSLATION WITH JAVANESE SPEECH LEVELS’ CLASSIFICATION
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2016 A hybrid corpus-based machine processing has been developed to produce a proper Javanese speech level translation. The developed statistical memory-based machine translation shows significantly accurate results.
Andrew Nafalski, Aji Prasetya Wibawa
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A Machine Translation System from Hindi to Sanskrit Language using Rule based Approach
Scalable Computing : Practice and Experience, 2020 Machine Translation is an area of Natural Language Processing which can replace the laborious task of manual translation. Sanskrit language is among the ancient Indo-Aryan languages. There are numerous works of art and literature in Sanskrit. It has also
Neha Bhadwal +2 more
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USING MACHINE TRANSLATION ENGINES IN THE CLASSROOM: A SURVEY OF TRANSLATION STUDENTS’ PERFORMANCE
Novìtnâ Osvìta, 2020 This paper outlines the results of the experimental study aiming to explore the impact of using machine translation engines on the performance of translation students. Machine translation engines refer to the software developed to translate source texts
Alla Olkhovska, Iryna Frolova
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A Large-Scale Comparison of Historical Text Normalization Systems [PDF]
, 2019 There is no consensus on the state-of-the-art approach to historical text normalization. Many techniques have been proposed, including rule-based methods, distance metrics, character-based statistical machine translation, and neural encoder--decoder ...
Bollmann, Marcel
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Interlingual Machine Translation [PDF]
, 2012 Interlingual is an artificial language used to represent the meaning of natural languages, as for purposes of machine translation. It is an intermediate form between two or more languages.
Hanumanthappa, M., Mallamma, V.R.
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A morphological analyser for Maltese [PDF]
, 2017 This article describes the development of a free/open-source morphological description of Maltese, originally created as the analysis component in a rule-based machine translation system for Maltese to Arabic and later applied to other tasks.
Gatt, Albert +2 more
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INTEGRATING MACHINE TRANSLATION AND SPEECH SYNTHESIS COMPONENT FOR ENGLISH TO DRAVIDIAN LANGUAGE SPEECH TO SPEECH TRANSLATION SYSTEM [PDF]
Journal of Engineering Science and Technology, 2015 This paper provides an interface between the machine translation and speech synthesis system for converting English speech to Tamil text in English to Tamil speech to speech translation system.
J. SANGEETHA, S. JOTHILAKSHMI
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