Results 21 to 30 of about 276,101 (306)
Otedama: Fast Rule-Based Pre-Ordering for Machine Translation [PDF]
Abstract We present Otedama, a fast, open-source tool for rule-based syntactic pre-ordering, a well established technique in statistical machine translation. Otedama implements both a learner for pre-ordering rules, as well as a component for applying these rules to parsed sentences. Our system is compatible with several external parsers and capable of
Julian Hitschler+5 more
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Machine Learning Applied to Rule-Based Machine Translation [PDF]
Annette Rios, Anne Göhring
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Automatic evaluation of the quality of machine translation of a scientific text: the results of a five-year-long experiment [PDF]
We report on various approaches to automatic evaluation of machine translation quality and describe three widely used methods. These methods, i.e. methods based on string matching and n-gram models, make it possible to compare the quality of machine ...
Ulitkin Ilya+3 more
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Progress in Machine Translation
After more than 70 years of evolution, great achievements have been made in machine translation. Especially in recent years, translation quality has been greatly improved with the emergence of neural machine translation (NMT).
Haifeng Wang+4 more
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A review of existing Machine Translation Approaches, their Challenges and Evaluation Metrics
Machine translation is the process of translating a natural language into another. The primary goal of machine translation is to bridge the linguistic gap between languages.
Naseer Ahmed
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Er maskinoversetting fra nordsamisk nyttig for sørsamisk?
The article assesses the strengths and weaknesses of a rule-based translation program from North Saami to South Saami. As a tool for translators, the system can contribute to more text being produced in South Saami, both by using North Saami as an ...
Lene Antonsen
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English-Ilokano Language Translator using Example-Based and Rule-Based Machine Translation
Rowell L. Casil
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Neural machine translation of chemical nomenclature between English and Chinese
Machine translation of chemical nomenclature has considerable application prospect in chemical text data processing between languages. However, rule based machine translation tools have to face significant complication in rule sets building, especially ...
Tingjun Xu+5 more
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Not by chance. Russian aspect in rule-based machine translation [PDF]
The aim of this paper is twofold: it illustrates the benefits of rule-based instead of statistical machine translation, and it provides a starting point for the machine translation of the Russian aspect into English. Rule-based machine translation is still promising, from both a computational and theoretical point of view, because by implementing rules
Sonnenhauser, Barbara+1 more
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Machine translation using natural language processing [PDF]
Machine Translation is the translation of text or speech by a computer with no human involvement. It is a popular topic in research with different methods being created, like rule-based, statistical and examplebased machine translation.
Rishita Middi Venkata Sai+2 more
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