Results 1 to 10 of about 18,168 (283)

Chinese-to-Spanish rule-based machine translation system [PDF]

Proceedings of the 3rd Workshop on Hybrid Approaches to Machine Translation (HyTra), 2014
Este documento describe el primer sistema de traducción automática basado en reglas chino-español disponible gratuitamente. El sistema se ha construido utilizando la tecnología Apertium y combinando técnicas manuales y estadísticas. La evaluación en diferentes conjuntos de pruebas muestra una alta cobertura entre 82-88%.
Jordi Centelles, Marta R. Costa‐jussà
openalex   +3 more sources

Comparative analysis of machine translation for Hindi-Dogri text using rule-based, statistical, and neural approaches [PDF]

PeerJ Computer Science
Machine translation has made significant progress in several Indian languages; however, some, known as computationally low-resourced languages, have seen very little work in this field.
Joginder Kumar, Manik Rakhra, Preeti Dubey, Deepak Prashar, Leo Mrsic, Arfat Ahmad Khan, Seifedine Kadry, Jungeun Kim   +7 more
doaj   +3 more sources

Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models

, 2019
Rule-based machine translation is a machine translation paradigm where linguistic knowledge is encoded by an expert in the form of rules that translate from source to target language. While this approach grants total control over the output of the system, the cost of formalising the needed linguistic knowledge is much higher than training a corpus ...
Daniel Torregrosa, Nivranshu Pasricha, Maraim Masoud, Bharathi Raja Chakravarthi, J. A. Pajares, Noé Casas, Mihael Arčan   +6 more
openalex   +3 more sources

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, Kyung‐Soon Lee, Young-Kil Kim   +2 more
openalex   +2 more sources

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, Virach Sornlertlamvanich, Thatsanee Charoenporn   +2 more
openalex   +3 more sources

Rule-based Syntactic Preprocessing for Syntax-based Machine Translation [PDF]

Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation, 2014
Several preprocessing techniques using syntactic information and linguistically motivated rules have been proposed to improve the quality of phrase-based machine translation (PBMT) output. On the other hand, there has been little work on similar techniques in the context of other translation formalisms such as syntax-based SMT.
Yuto Hatakoshi, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura   +4 more
openalex   +2 more sources

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
doaj   +3 more sources

Exploring the evolution and future prospects of Amharic to English machine translation: a systematic review [PDF]

Frontiers in Artificial Intelligence
IntroductionIn 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, Shimelis Getu Assefa, Mesfin Abebe Haile   +2 more
doaj   +2 more sources

An intelligent framework combining deep learning and fuzzy logic for accurate remote language translation [PDF]

Scientific Reports
In the era of globalized communication, the need for accurate and context-sensitive language translation has become increasingly vital—especially in remote, real-time applications such as telemedicine, virtual collaboration, and cross-border ...
Cong Geng
doaj   +2 more sources

Rule-Based Pronominal Anaphora Treatment for Machine Translation [PDF]

Proceedings of the Second Workshop on Discourse in Machine Translation, 2015
In this paper we describe the rule-based MT system Its-2 developed at the University of Geneva and submitted for the shared task on pronoun translation organized within the Second DiscoMT Workshop. For improving pronoun translation, an Anaphora Resolution (AR) step based on Chomsky’s Binding Theory and Hobbs’ algorithm has been implemented.
Sharid Loáiciga, Éric Wehrli
openalex   +2 more sources