Machine Translation: Phrase-Based, Rule-Based and Neural Approaches with Linguistic Evaluation [PDF]
Cybernetics and Information Technologies, 2017 In this article we present a novel linguistically driven evaluation method and apply it to the main approaches of Machine Translation (Rule-based, Phrase-based, Neural) to gain insights into their strengths and weaknesses in much more detail than ...
Macketanz Vivien +4 more
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An intelligent framework combining deep learning and fuzzy logic for accurate remote language translation [PDF]
Scientific ReportsIn 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
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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
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Why Catalan-Spanish Neural Machine Translation? Analysis, comparison and combination with standard Rule and Phrase-based technologies [PDF]
, 2017 Catalan and Spanish are two related languages given that both derive from Latin. They share similarities in several linguistic levels including morphology, syntax and semantics. This makes them particularly interesting for the MT task.
Marta R. Costa‐jussà
openalex +4 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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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
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Automatic evaluation of the quality of machine translation of a scientific text: the results of a five-year-long experiment [PDF]
E3S Web of Conferences, 2021 We report on various approaches to automatic evaluation of machine translation quality and describe three widely used methods. These methods, i.e. methods based on string matching and n-gram models, make it possible to compare the quality of machine ...
Ulitkin Ilya +3 more
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Progress in Machine Translation
Engineering, 2022 After more than 70 years of evolution, great achievements have been made in machine translation. Especially in recent years, translation quality has been greatly improved with the emergence of neural machine translation (NMT).
Haifeng Wang +4 more
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A review of existing Machine Translation Approaches, their Challenges and Evaluation Metrics
Pakistan Journal of Engineering Technology & Science, 2023 Machine translation is the process of translating a natural language into another. The primary goal of machine translation is to bridge the linguistic gap between languages.
Naseer Ahmed
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Er maskinoversetting fra nordsamisk nyttig for sørsamisk?
Nordlyd: Tromsø University Working Papers on Language & Linguistics, 2023 The article assesses the strengths and weaknesses of a rule-based translation program from North Saami to South Saami. As a tool for translators, the system can contribute to more text being produced in South Saami, both by using North Saami as an ...
Lene Antonsen
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