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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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
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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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Description of the Chinese-to-Spanish Rule-Based Machine Translation System Developed Using a Hybrid Combination of Human Annotation and Statistical Techniques [PDF]
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2015 Two of the most popular Machine Translation (MT) paradigms are rule based (RBMT) and corpus based, which include the statistical systems (SMT). When scarce parallel corpus is available, RBMT becomes particularly attractive.
M. Costa-jussà, Jordi Centelles
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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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ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023 With increasing globalization, communication among people of diverse cultural backgrounds is also taking place to a very large extent in the present era. Issues like language diversity in various parts of the world can lead to hindrance in communication.
S. Chauhan +7 more
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Neural machine translation of chemical nomenclature between English and Chinese
Journal of Cheminformatics, 2020 Machine translation of chemical nomenclature has considerable application prospect in chemical text data processing between languages. However, rule based machine translation tools have to face significant complication in rule sets building, especially ...
Tingjun Xu +5 more
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