Self-aware cycle curriculum learning for multiple-choice reading comprehension [PDF]
PeerJ Computer Science, 2022 Multiple-choice reading comprehension task has recently attracted significant interest. The task provides several options for each question and requires the machine to select one of them as the correct answer.
Haihong Chen, Yufei Li
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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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Why Catalan-Spanish Neural Machine Translation? Analysis, comparison and combination with standard Rule and Phrase-based technologies [PDF]
, 2017 Catalan and Spanish are two related languages given that both derive from Latin. They share similarities in several linguistic levels including morphology, syntax and semantics. This makes them particularly interesting for the MT task.
Ruiz Costa-Jussà, Marta
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An Approach for Chinese-Japanese Named Entity Equivalents Extraction Using Inductive Learning and Hanzi-Kanji Mapping Table [PDF]
, 2017 Named Entity Translation Equivalents extraction plays a critical role in machine translation (MT) and cross language information retrieval (CLIR). Traditional methods are often based on large-scale parallel or comparable corpora.
Araki, Kenji +4 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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wEBMT: developing and validating an example-based machine translation system using the world wide web [PDF]
, 2003 We have developed an example-based machine translation (EBMT) system that uses the World Wide Web for two different purposes: First, we populate the system’s memory with translations gathered from rule-based MT systems located on the Web.
Gough, Nano, Way, Andy
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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 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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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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An efficient execution method for rule-based machine translation [PDF]
Proceedings of the 12th conference on Computational linguistics -, 1988 A rule based system is an effective way to implement a machine translation system because of its extensibility and maintainability. However, it is disadvantageous in processing efficiency. In a rule based machine translation system, the grammar consists of a lot of rewriting rules.
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