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Empirical Analysis of Parallel Corpora and In-Depth Analysis Using LIWC
Applied Sciences, 2022 The machine translation system aims to translate source language into target language. Recent studies on MT systems mainly focus on neural machine translation.
Chanjun Park +6 more
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MulTed: a multilingual aligned and tagged parallel corpus [PDF]
Applied Computing and Informatics, 2022 Recently, more data-driven approaches are demanding multilingual parallel resources primarily in the cross-language studies. To meet these demands, building multilingual parallel corpora are becoming the focus of many Natural Language Processing (NLP ...
Imad Zeroual, Abdelhak Lakhouaja
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Construction Method of Parallel Corpus for Minority Language Machine Translation [PDF]
Jisuanji kexue, 2022 The training performance of neural machine translation depends heavily on the scale and quality of parallel corpus.Unlike some common languages,the construction of high-quality parallel corpora between Chinese and minority languages has been lagging.The ...
LIU Yan, XIONG De-yi
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Learning languages from parallel corpora
Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, 2022 This work describes a blueprint for an application that generates language learning exercises from parallel corpora. Word alignment and parallel structures allow for the automatic assessment of sentence pairs in the source and target languages, while ...
Johannes Graën
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IEEE Access, 2022 Parallel corpora are vital components in several applications of Natural Language Processing (NLP), particularly in machine translation. In this paper, we present a novel method for automatically creating parallel sentences from comparable corpora.
Maha Jarallah Althobaiti
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Building English – Punjabi Aligned Parallel Corpora of Nouns from Comparable Corpora
Applied Computer Systems, 2023 Comparable corpora are the right resources for extracting parallel data due to their abundant availability. It is of great importance where parallel data are scarce.
Kaur Dilshad, Singh Satwinder
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The neural machine translation models for the low-resource Kazakh–English language pair [PDF]
PeerJ Computer Science, 2023 The development of the machine translation field was driven by people’s need to communicate with each other globally by automatically translating words, sentences, and texts from one language into another.
Vladislav Karyukin +4 more
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Automatic Generation of Exercises for Second Language Learning from Parallel Corpus Data [PDF]
International Journal of TESOL Studies, 2021 Creating language learning exercises is a time-consuming task and made-up sample sentences frequently lack authenticity. Authentic samples can be obtained from corpora, but it is necessary to identify material that is suitable for language learners ...
Arianna Zanetti +2 more
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Languages, 2022 This paper surveys the strategies that the Contrastive, Typological, and Translation Mining parallel corpus traditions rely on to deal with the issue of target language representativeness of translations.
Bert Le Bruyn +6 more
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Pièges méthodologiques des corpus parallèles et comment les éviter
Corela, 2017 In this article, we present methodological problems pertaining to the exploitation of parallel corpora, i.e. corpora composed of translations and their respective originals, and we try to propose the principles and rules helping to avoid said problems ...
Olga Nádvorníková
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