Results 311 to 320 of about 341,942 (325)

A Phrase-Based Machine Translation from English to Bangla Using Rule-Based Approach

European Conference on Cognitive Ergonomics, 2019
In 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, Al-Amin Mamun, Chaity Basak, S. Nahar, Md. Faizul Huq Arif   +4 more
semanticscholar   +1 more source

Rule Based Machine Translation from English to Malayalam

2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies, 2009
Here 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, Remya Rajan, Remya Sivan, K. P. Soman   +3 more
openaire   +2 more sources

Towards achieving a delicate blending between rule-based translator and neural machine translator

Neural Computing and Applications, 2021
Popular 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, Md. Saidul Hoque Anik, A. B. M. Alim Al Islam   +2 more
openaire   +2 more sources

English to Sanskrit machine translation system: a rule-based approach

International Journal of Advanced Intelligence Paradigms, 2012
The 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
openaire   +2 more sources

Combined Technology of Lexical Selection in Rule-Based Machine Translation

2017
This 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, Aidana Karibayeva, Dina Amirova, Aida Sundetova, Ualsher Tukeyev   +4 more
openaire   +2 more sources

MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning

arXiv.org
Large-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, Shaosheng Cao, Jiahan Ren, Jiayuan Su, Ruizhe Chen, Yan Zhang, Zhe Xu, Yao Hu, Jian Wu, Zuozhu Liu   +9 more
semanticscholar   +1 more source

Rule-based reordering spaces in statistical machine translation

2014
In 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, Allauzen, Alexandre, Yvon, François   +2 more
openaire   +1 more source

Unsupervised Weighting of Transfer Rules in Rule-Based Machine Translation using Maximum-Entropy Approach

Journal of information science and engineering, 2020
S. Bayatli, S. Kurnaz, Aboelhamd Ali, Jonathan North Washington, Francis M. Tyers   +4 more
semanticscholar   +1 more source

A Sanskrit-to-English machine translation using hybridization of direct and rule-based approach

Neural computing & applications (Print), 2020
Sitender, S. Bawa
semanticscholar   +1 more source

Improving the rule based machine translation system using sentence simplification (english to tamil)

International Conference on Advances in Computing, Communications and Informatics, 2017
B. Kavirajan, M. A. Kumar, K. Soman, S. Rajendran, S. Vaithehi   +4 more
semanticscholar   +1 more source