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 ...
Jin‐Xia Huang +2 more
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Inflection rules for Marathi to English in rule based machine translation
IAES International Journal of Artificial Intelligence (IJ-AI), 2021 Machine translation is important application in natural language processing. Machine translation means translation from source language to target language to save the meaning of the sentence.
Namrata G Kharate, Varsha Patil
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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.
Antonio L. Lagarda +4 more
semanticscholar +4 more sources
Challenges in Rule Based Machine Translation from Marathi to English
5th International Conference on Advances in Computer Science and Information Technology (ACSTY-2019), 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, Varsha Patil
semanticscholar +4 more sources
Machine Learning Applied to Rule-Based Machine Translation [PDF]
, 2016 Annette Rios, Anne Göhring
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Exploring the evolution and future prospects of Amharic to English machine translation: a systematic review [PDF]
Frontiers in Artificial IntelligenceIntroductionIn the last couple of decades, Amharic-English translation has greatly improved from a rule-based approach to contemporary systems that apply neural networks.
Muluken Hussen Asebel +2 more
doaj +2 more sources
Improvement of English-Chinese bilingual learning by integrating semantic analysis and neural machine translation [PDF]
Scientific ReportsTo improve the effectiveness of English-Chinese bilingual learning, this study introduces an optimization model that combines semantic analysis with neural machine translation (NMT).
Yue Zhao, Qilin Wang
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Chinese-to-Spanish rule-based machine translation system [PDF]
HyTra@EACL, 2014 This paper describes the first freely available Chinese-to-Spanish rule-based machine translation system. The system has been built using the Apertium technology and combining manual and statistical techniques.
Jordi Centelles, Marta R. Costa‐jussà
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English to Telugu Rule based Machine Translation System: A Hybrid Approach
, 2014 This paper deals with adaptive rule based machine translation from English to Telugu. This approach is based on rule-based methodologies. If-then methods to select the best rules for target language in translation, Probability based appropriate word ...
Keerthi Lingam +2 more
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Rule-Based Machine Translation from Tunisian Dialect to Modern Standard Arabic
International Conference on Knowledge-Based Intelligent Information & Engineering Systems, 2020 Mohamed Ali Sghaier, Mounir Zrigui
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