Parallel Corpora

Lefer, Marie-Aude

doi:10.1007/978-3-030-46216-1_12

Cited by 8 publications

(2 citation statements)

References 41 publications

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“…Initiatives such as Mackenzie et al's [24] creation of the CC-News-En corpus from the Common Crawl Foundation data mitigated the shortage of journalism corpora to an extent. To clarify corpus evaluation, Lefer's [25] chapter on Parallel Corpora in "A Practical Handbook of Corpus Linguistics" outlined the main features of parallel corpora. It also explored methods of analysis, including the combined use of parallel and comparable corpora, and addressed challenges in corpus design and analysis.…”

Section: Corpus Constructionmentioning

confidence: 99%

WCC-EC 2.0: Enhancing Neural Machine Translation with a 1.6M+ Web-Crawled English-Chinese Parallel Corpus

Zhang,

Su,

Tian

et al. 2024

Electronics

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This research introduces WCC-EC 2.0 (Web-Crawled Corpus—English and Chinese), a comprehensive parallel corpus designed for enhancing Neural Machine Translation (NMT), featuring over 1.6 million English-Chinese sentence pairs meticulously gathered via web crawling. This corpus, extracted through an advanced web crawler, showcases the vast linguistic diversity and richness of English and Chinese, uniquely spanning the rarely covered news and music domains. Our methodical approach in web crawling and corpus assembly, coupled with rigorous experiments and manual evaluations, demonstrated its superiority by achieving high BLEU scores, marking significant strides in translation accuracy and model resilience. Its inclusion of these specific areas adds significant value, providing a unique dataset that enriches the scope for NMT research and development. With the rise of NMT technology, WCC-EC 2.0 emerges not only as an invaluable resource for researchers and developers, but also as a pivotal tool for improving translation accuracy, training more resilient models, and promoting interlingual communication.

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Section: Corpus Constructionmentioning

confidence: 99%

WCC-EC 2.0: Enhancing Neural Machine Translation with a 1.6M+ Web-Crawled English-Chinese Parallel Corpus

Zhang,

Su,

Tian

et al. 2024

Electronics

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“…We note that this study is inherently product-oriented and cannot provide direct evidence for underlying decision processes. Still, parallel corpus data provide indirect access, since they show how individual instances are handled (Schäffner, 2017;Lefer, 2020) and can be seen as "parts of the same reality, that is, of the operations performed by the translator while translating" (Bardaji, 2009: 162).…”

Section: Morphosyntactic and Conceptual-semantic Aspects Of Translationmentioning

confidence: 99%

From Crystal-clear to Limpide: Translating English [Noun+adj] Compound Adjectives with a Figurative-intensifying Noun into French

Prinzie

Suñer

Goethem

2022

RiL

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English [Noun+Adj] compound adjectives containing an intensifying metaphor (e.g. crystal-clear) pose particular challenges for French translation, due in part to the absence of a direct equivalent construction. Our study examines morphosyntactic and conceptual-semantic translation procedures that capture how these challenges are resolved. We also explore the little-investigated aspect of translation variation (the number of different solutions for each item). We analyze the potential effects of two factors: the presence or absence of figurative intensification and the items’ frequency of use in English. Our results indicate that translators prefer different morphosyntactic procedures for different compound subtypes. Overall, an adjective constituent is most frequently retained, although complete reformulations with a noun or verb also occur. Semantically, the intensifying meaning is often rendered non-figuratively, depending on what is available in idiomatic French usage. Intensification is also frequently dropped. Translation variation is remarkably high, due in part to extensive use of near-synonyms. High-frequency items do not appear to converge on a smaller number of translations, but instead provide more opportunities for diversification.

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Building a New-Generation Corpus for Empirical Translation Studies: The Dutch Parallel Corpus 2.0

Reynaert

Macken

Tezcan

et al. 2021

New Perspectives on Corpus Translation Studies

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Parallel Corpora

Cited by 8 publications

References 41 publications

WCC-EC 2.0: Enhancing Neural Machine Translation with a 1.6M+ Web-Crawled English-Chinese Parallel Corpus

WCC-EC 2.0: Enhancing Neural Machine Translation with a 1.6M+ Web-Crawled English-Chinese Parallel Corpus

From Crystal-clear to Limpide: Translating English [Noun+adj] Compound Adjectives with a Figurative-intensifying Noun into French

Building a New-Generation Corpus for Empirical Translation Studies: The Dutch Parallel Corpus 2.0

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