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English to Kurdish Rule-based Machine Translation System

open access: goldUHD 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
doaj   +6 more sources

LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages [PDF]

open access: greenProceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024)
We propose a new paradigm for machine translation that is particularly useful for no-resource languages (those without any publicly available bilingual or monolingual corpora): LLM-RBMT (LLM-Assisted Rule Based Machine Translation). Using the LLM-RBMT paradigm, we design the first language education/revitalization-oriented machine translator for Owens ...
Jared Coleman   +3 more
semanticscholar   +6 more sources

Rule-based Machine translation from English to Finnish [PDF]

open access: hybridProceedings of the Second Conference on Machine Translation, 2017
Peer ...
Arvi Hurskainen, Jörg Tiedemann
semanticscholar   +5 more sources

Machine translation: a critical look at the performance of rule-based and statistical machine translation

open access: diamondCadernos 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
doaj   +6 more sources

Rule-Based Machine Translation for the Italian–Sardinian Language Pair [PDF]

open access: goldThe 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
semanticscholar   +5 more sources

Statistical post-editing of a rule-based machine translation system [PDF]

open access: bronzeProceedings 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
semanticscholar   +4 more sources

Hybrid Translation with Classification: Revisiting Rule-Based and Neural Machine Translation [PDF]

open access: goldElectronics, 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
semanticscholar   +4 more sources

Translation of Telugu-Marathi and Vice-Versa Using Rule Based Machine Translation [PDF]

open access: bronzeComputer 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
semanticscholar   +6 more sources

Inflection rules for Marathi to English in rule based machine translation

open access: goldIAES 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. A large amount of research is going on in the area of machine translation.
Namrata G Kharate, Varsha Patil
semanticscholar   +5 more sources

Challenges in Rule Based Machine Translation from Marathi to English

open access: bronze5th 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. Perfect Machine Translation Systems have not yet been fully built because the fact that languages differ ...
Namrata G Kharate, Varsha Patil
semanticscholar   +4 more sources

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