Leveraging bilingual terminology to improve machine translation in a CAT environment

Arčan, Mihael; Turchi, Marco; Tonelli, Sara; Buitelaar, Paul

doi:10.1017/s1351324917000195

Cited by 22 publications

(17 citation statements)

References 23 publications

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“…Inter alia, CLs are illustrated by the rules of the Simplified Technical English (STE). The study "Leveraging bilingual terminology to improve machine translation in a CAT environment" (Arcan et al, 2017) deals with the extraction and integration of automatically aligned bilingual terminology into a Statistical Machine Translation (SMT) system in a Computer Aided Translation scenario. The information technology nomenclature is compared and tested in English, Italian and German and draws the conclusion of the significant improvement of the system results, especially compared to the widely-used XML markup approach.…”

Section: Literature Review and Discussionmentioning

confidence: 99%

The issue of the information technology and technical terminology translatability from English into Russian: the typology and the nominative density levels

Bobrova

Lebedev

Tsybina

et al. 2021

RDLUZ

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The 21st century is characterized by its rapid scientific and technological advancement. Digital and technical inventions have resulted in computer globalization which caused the necessity of adequate translation of different kinds of English-language technical documentation, manuals, software products, etc. The article deals with the recent tendencies in translation and interpretation studies showing increasing interest to the ways English scientific and technical texts are rendered into Russian. The article considers the peculiarities of translating the scientific and technical vocabulary in the information technologies sphere and provides a typology of the English terms. Non-equivalent vocabulary is considered to be the most serious communication challenge. The authors identify the basic typical features of the computer discourse vocabulary, analyze the correlation between its nominal density and translatability level. The findings indicate that the ratio between the nominal density and translatability level of linguistic concepts is inversely proportional. The academic originality of the study involves the classification of technical and computer terms, as well as comparing nominal density and translatability levels. The article focuses on the most applicable English-language computer terms translation techniques, such as calquing, substantiation, generalization, semantic development, descriptive translation, antonymic translation, replacement and transformation of parts of a sentence. Pointing out that both linguistic and extralinguistic factors affect the translation solution choice, the authors believe that the correct approach to the translation process guarantees a successful intercultural communication.

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Section: Literature Review and Discussionmentioning

confidence: 99%

The issue of the information technology and technical terminology translatability from English into Russian: the typology and the nominative density levels

Bobrova

Lebedev

Tsybina

et al. 2021

RDLUZ

View full text Add to dashboard Cite

show abstract

“…Besides monolingual term extraction, we also followed a different approach when it comes to bilingual term extraction [72,73]. We first perform monolingual extraction of domain-specific terms, using available terminology extractors, and then, given a source term and a parallel sentence pair in which it appears, a set of possible translations are obtained.…”

Section: Discussionmentioning

confidence: 99%

“…We first perform monolingual extraction of domain-specific terms, using available terminology extractors, and then, given a source term and a parallel sentence pair in which it appears, a set of possible translations are obtained. There are different options: to use automatic translation, trained on the same corpus using GIZA++ [40,43], to apply a word aligner [72], or to use log-likelihood comparison and phrase-based statistical machine translation models as in TermFinder [73]. We rely on previous research [27,39,40] that proved successful for bilingual term extraction in other domains, where one language is Serbian.…”

Section: Discussionmentioning

confidence: 99%

A Data Driven Approach for Raw Material Terminology

et al. 2021

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The research presented in this paper aims at creating a bilingual (sr-en), easily searchable, hypertext, born-digital, corpus-based terminological database of raw material terminology for dictionary production. The approach is based on linking dictionaries related to the raw material domain, both digitally born and printed, into a lexicon structure, aligning terminology from different dictionaries as much as possible. This paper presents the main features of this approach, data used for compilation of the terminological database, the procedure by which it has been generated and a mobile application for its use. Available (terminological) resources will be presented—paper dictionaries and digital resources related to the raw material domain, as well as general lexica morphological dictionaries. Resource preparation started with dictionary (retro)digitisation and corpora enlargement, followed by adding new Serbian terms to general lexica dictionaries, as well as adding bilingual terms. Dictionary development is relying on corpus analysis, details of which are also presented. Usage examples, collocations and concordances play an important role in raw material terminology, and have also been included in this research. Some important related issues discussed are collocation extraction methods, the use of domain labels, lexical and semantic relations, definitions and subentries.

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“…points, and a significant improvement from 0.05 to 3.03 in the X.M.L. markup method [15]. Passban et al (2017) proposed two different methods to associate complex words with complete sentences in multiple words or even simpler languages in the S.M.T.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Data Mining Methods in Internet of Things Technology for the Translation Systems in Traditional Ethnic Books

Luo

Xiang

2020

IEEE Access

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In order to translate the ethnic classics, based on the research on the Internet of things, machine learning, and translation technology of ethnic classics, the log-linear model is combined with the national corpus scale and the grammatical structure characteristics, and the phrase statistical machine translation is used to establish a discontinuous phrase extraction model. Then, the translation technology is studied from the three aspects of model definition, training, and decoding. Finally, the algorithm is compared with the traditional phrase extraction algorithm to verify its effectiveness. The results show that the extraction number of discontinuous phrase extraction model is significantly higher than that of traditional phrase extraction model, and the model can extract more phrases, handle larger and more complex text, and score higher in translation fluency. From the evaluation indexes scores of Bilingual Evaluation Understudy (B.L.E.U.) and National Institute of Standards and Technology (N.I.S.T.), it can be found that the B.L.E.U. and N.I.S.T. values of the traditional phrase extraction algorithm are lower than those of the discontinuous phrase extraction model algorithm. The discontinuous phrase extraction algorithm can not only extract the regular continuous phrase, but also obtain the discontinuous text, and the translation effect is better. In conclusion, the combination of Internet of things and machine learning can be used in the translation of ethnic classics to achieve high-quality translation of discontinuous phrases, which is of guiding significance for the study of machine translation.

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Leveraging bilingual terminology to improve machine translation in a CAT environment

Cited by 22 publications

References 23 publications

The issue of the information technology and technical terminology translatability from English into Russian: the typology and the nominative density levels

The issue of the information technology and technical terminology translatability from English into Russian: the typology and the nominative density levels

A Data Driven Approach for Raw Material Terminology

Application of Data Mining Methods in Internet of Things Technology for the Translation Systems in Traditional Ethnic Books

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