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Towards a Dynamic Linkage of Example-based and Rule-based Machine Translation [PDF]
Machine Translation, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Leonid L. Iomdin +3 more
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Vietnamese-Thai machine translation using rule-based
2017 9th International Conference on Knowledge and Smart Technology (KST), 2017This paper presents a rule-based Vietnamese-Thai machine translation (VTMT) system. Vietnamese text is input and segmented to a set of sentences through the use of punctuation marks. The output sentence is segmented into a sequence of words using a longest syllable matching algorithm together with named entity recognition (NER) rules.
Tung Nguyen Ba Son +1 more
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Adopting New Rules in Rule-Based Machine Translation
2010 12th International Conference on Computer Modelling and Simulation, 2010This paper examines the agreement and word-order tackling in Arabic MT systems. The paper represents an English to Arabic approach for translating well-structured English sentences into well-structured Arabic sentences using a new rules to handle the problems of ordering and agreement.
Tengku Mohammed Sembok +2 more
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A Phrase-Based Machine Translation from English to Bangla Using Rule-Based Approach
European Conference on Cognitive Ergonomics, 2019In this paper, a model of transfer architecture has been proposed which represents a Rule-Based Approach. This approach relies on the fuzzy rules. It is a tense and phrase based English to Bangla transfer system. This article represents a knowledge-based
Afsana Parveen Mukta +4 more
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Rule Based Machine Translation from English to Malayalam
2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies, 2009Here we propose a method for translating English sentences to Malayalam. This machine translation is done by rule based method. The core process is mediated by bilingual dictionaries and rules for converting source language structures into target language structures.
Remya Ravindran +3 more
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Towards achieving a delicate blending between rule-based translator and neural machine translator
Neural Computing and Applications, 2021Popular translators such as Google, Bing, etc., perform quite well when translating among the popular languages such as English, French, etc.; however, they make elementary mistakes when translating the low-resource languages such as Bengali, Arabic, etc. Google uses Neural Machine Translation (NMT) approach to build its multilingual translation system.
Md. Adnanul Islam +2 more
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English to Sanskrit machine translation system: a rule-based approach
International Journal of Advanced Intelligence Paradigms, 2012The development of machine translation (MT) system for ancient language such as Sanskrit is a much more fascinating and challenging task. Due to lack of linguistic community, there are no wide works accomplished in Sanskrit translation while it is national language by virtue of its importance in India's cultural heritage.
Ravi Bhushan Mishra, Vimal Mishra
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Rule-based reordering spaces in statistical machine translation
2014In Statistical Machine Translation (SMT), the constraints on wordreorderings have a great impact on the set of potential translations that areexplored. Notwithstanding computationnal issues, the reordering spaceof a SMT system needs to be designed with great care: if a largersearch space is likely to yield better translations, it may also leadto more ...
Pécheux, Nicolas +2 more
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MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning
arXiv.orgLarge-scale reinforcement learning (RL) methods have proven highly effective in enhancing the reasoning abilities of large language models (LLMs), particularly for tasks with verifiable solutions such as mathematics and coding.
Zhaopeng Feng +9 more
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Combined Technology of Lexical Selection in Rule-Based Machine Translation
2017This paper describes process of solving the task of lexical selection for English-Kazakh (and vice versa) machine translation system based on combined technology. Proposed combined technology is including the constraint grammar model and maximum entropy model for more effective solution of the problem of lexical selection for English-Kazakh (and vice ...
Balzhan Abduali +4 more
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