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Cadernos de Tradução, 2020 The essay provides a critical assessment of the performance of two distinct machine translation systems, Systran and Google Translate. First, a brief overview of both rule-based and statistical machine translation systems is provided followed by a ...
Brita Banitz
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English to Kurdish Rule-based Machine Translation System
UHD Journal of Science and Technology, 2018 In this paper we present a machine translation system developed to translate simple English sentences to Kurdish. The system is based on the (apertuim) free open source engine that provides the environment and the required tools to develop a machine ...
kanaan mikael Kaka-Khan
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Rule-based Machine translation from English to Finnish [PDF]
Proceedings of the Second Conference on Machine Translation, 2017 Peer ...
Arvi Hurskainen, Jörg Tiedemann
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Machine Translation: Phrase-Based, Rule-Based and Neural Approaches with Linguistic Evaluation [PDF]
Cybernetics and Information Technologies, 2017 In this article we present a novel linguistically driven evaluation method and apply it to the main approaches of Machine Translation (Rule-based, Phrase-based, Neural) to gain insights into their strengths and weaknesses in much more detail than ...
Macketanz Vivien +4 more
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Improving translation quality of rule-based machine translation [PDF]
COLING-02 on Machine translation in Asia -, 2002 This paper proposes machine learning techniques, which help disambiguate word meaning. These methods focus on considering the relationship between a word and its surroundings, described as context information in the paper. Context information is produced from rule-based translation such as part-of-speech tags, semantic concept, case relations and so on.
Paisarn Charoenpornsawat +2 more
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Statistical post-editing of a rule-based machine translation system [PDF]
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers on - NAACL '09, 2009 Automatic post-editing (APE) systems aim at correcting the output of machine translation systems to produce better quality translations, i.e. produce translations can be manually post-edited with an increase in productivity. In this work, we present an APE system that uses statistical models to enhance a commercial rule-based machine translation (RBMT)
Antonio L. Lagarda +4 more
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Translation of Telugu-Marathi and Vice-Versa Using Rule Based Machine Translation [PDF]
Computer Science & Information Technology ( CS & IT ), 2014 In todays digital world automated Machine Translation of one language to another has covered a long way to achieve different kinds of success stories. Whereas Babel Fish supports a good number of foreign languages and only Hindi from Indian languages, the Google Translator takes care of about 10 Indian languages.
Siddhartha Ghosh +2 more
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Rule-Based Machine Translation for the Italian–Sardinian Language Pair [PDF]
The Prague Bulletin of Mathematical Linguistics, 2017 AbstractThis paper describes the process of creation of the first machine translation system from Italian to Sardinian, a Romance language spoken on the island of Sardinia in the Mediterranean. The project was carried out by a team of translators and computational linguists.
Francis M. Tyers +3 more
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Hybrid Translation with Classification: Revisiting Rule-Based and Neural Machine Translation [PDF]
Electronics, 2020 This paper proposes a hybrid machine-translation system that combines neural machine translation with well-developed rule-based machine translation to utilize the stability of the latter to compensate for the inadequacy of neural machine translation in rare-resource domains.
Jin‐Xia Huang +2 more
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An Advanced Approach for Rule Based English to Bengali Machine Translation [PDF]
Computer Science & Information Technology ( CS & IT ), 2013 This paper introduces an advanced, efficient approach for rule based English to Bengali (E2B) machine translation (MT), where Penn-Treebank parts of speech (PoS) tags, HMM (Hidden Markov Model) Tagger is used. Fuzzy-If-Then-Rule approach is used to select the lemma from rule-based-knowledge.
Chandranath Adak
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