Measuring Terminology Consistency in Translated Corpora: Implementation of the Herfindahl-Hirshman Index

Gašpar, Angelina; Seljan, Sanja; Kučiš, Vlasta

doi:10.3390/info13020043

Cited by 5 publications

(5 citation statements)

References 33 publications

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“…At the same time, Seljan et al [28] performed manual adequacy and fluency analysis on the machine translation results of poetry under the same data set, which proved the effectiveness of applying machine translation to Croatian-German pairs in the field of poetry. Gašpar et al [29] proposed a method to test the quality of language texts for terms. When the consistency of terms in the corpus is high, a high HHI score will be obtained.…”

Section: Related Workmentioning

confidence: 99%

Machine Translation of Electrical Terminology Constraints

Wang,

Chen,

Zhang

2023

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In practical applications, the accuracy of domain terminology translation is an important criterion for the performance evaluation of domain machine translation models. Aiming at the problem of phrase mismatch and improper translation caused by word-by-word translation of English terminology phrases, this paper constructs a dictionary of terminology phrases in the field of electrical engineering and proposes three schemes to integrate the dictionary knowledge into the translation model. Scheme 1 replaces the terminology phrases of the source language. Scheme 2 uses the residual connection at the encoder end after the terminology phrase is replaced. Scheme 3 uses a segmentation method of combining character segmentation and terminology segmentation for the target language and uses an additional loss module in the training process. The results show that all three schemes are superior to the baseline model in two aspects: BLEU value and correct translation rate of terminology words. In the test set, the highest accuracy of terminology words was 48.3% higher than that of the baseline model. The BLEU value is up to 3.6 higher than the baseline model. The phenomenon is also analyzed and discussed in this paper.

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Section: Related Workmentioning

confidence: 99%

Machine Translation of Electrical Terminology Constraints

Wang,

Chen,

Zhang

2023

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“…In order to accomplish this, were looked at keywords of articles that addressed the DESI index theme and investigated the correlations among them using the free bibliometric program VOSviewer 1.6.17 [22], as Vida, Kovács, Nagy, Madai and Bittner [23] also used similar analyses to investigate a topic in her research. Another work of consistent terminology is presented in Gašpar, Seljan and Kučiš [24], where Herfindahl-Hirshman Index is used to evaluate terminology diversity. Scholarly journal articles and conference proceedings were analysed between 2014 to 2022 that had the terms integration of digital technology and business digitalisation.…”

Section: Literature Reviewmentioning

confidence: 99%

Digital Technology Integration Among Eastern European Companies, Based on Digital Economy and Society Index

Kovács,

Nábrádi,

Bittner

2023

Interdiscip. Descr. Complex Syst.

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The European Commission has given special attention to the digital evolution of the European economy and society since the early 2000s. Starting with 2014, the Digital Economy and Society Index has become a key monitoring and assessment instrument. In 2021, the main indicators of the Digital Economy and Society Index were matched with the Digital Agenda 2030 targets, which encompass four dimensions: human capital, connectivity, digital technology integration, and digital public services. The article aims to verify the convergence amongst Member States in integrating digital technologies, which is the third dimension of the Digital Economy and Society Index yearly database. The σ-convergence analysis assessed decreased disparities in digital technology integration between Member States over time. The β-convergence analysis was used to evaluate the pace of catch-up from the initial development level. The σ-and β-convergence were not confirmed. The specific digital technology integration indicators (11) are studied to identify crucial areas that must be addressed in the future to guarantee that digital inclusion is as widespread as feasible. The present research is concentrated on the member countries that joined the EU during the Eastern enlargements. All individual indicator performance is typically behind the EU average, and as the β-convergence study indicates, the average catch-up rate is not encouraging.

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“…GaiusT did not include the concept of power, as it was intended for legal documents in general, and does require significant improvements in recall. Another approach focuses on the communication difficulties arising from the translation of contracts into different languages [24]. Consistency in use in contract terms is evaluated using the Herfindahl-Hirshman Index (HHI), a common measure for market concentration.…”

Section: Related Workmentioning

confidence: 99%

Semantic Annotation of Legal Contracts with ContrattoA

et al. 2022

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The aim of the research is to semi-automate the process of generating formal specifications from legal contracts in natural language text form. Towards this end, the paper presents a tool, named ContrattoA, that semi-automatically conducts semantic annotation of legal contract text using an ontology for legal contracts. ContrattoA was developed through two iterations where lexical patterns were defined for legal concepts and their effectiveness was evaluated with experiments. The first iteration was based on a handful of sample contracts and resulted in defining lexical patterns for recognizing concepts in the ontology; these were evaluated with an empirical study where one group of subjects was asked to annotate legal text manually, while a second group edited the annotations generated by ContrattoA. The second iteration focused on the lexical patterns for the core contract concepts of obligation and power where results of the first iteration were mixed. On the basis of an extended set of sample contracts, new lexical patterns were derived and those were shown to substantially improve the performance of ContrattoA, nearing in quality the performance of experts. The experiments suggest that good quality annotations can be generated for a broad range of contracts with minor refinements to the lexical patterns.

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Measuring Terminology Consistency in Translated Corpora: Implementation of the Herfindahl-Hirshman Index

Cited by 5 publications

References 33 publications

Machine Translation of Electrical Terminology Constraints

Machine Translation of Electrical Terminology Constraints

Digital Technology Integration Among Eastern European Companies, Based on Digital Economy and Society Index

Semantic Annotation of Legal Contracts with ContrattoA

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