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Pushing the right buttons: adversarial evaluation of quality estimation
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In: Proceedings of the Sixth Conference on Machine Translation ; 625 ; 638 (2022)
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Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora ...
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Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora ...
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Cross-Lingual BERT Contextual Embedding Space Mapping with Isotropic and Isometric Conditions ...
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Learning Policies for Multilingual Training of Neural Machine Translation Systems ...
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Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation ...
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Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space Geometry ...
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Alternative Input Signals Ease Transfer in Multilingual Machine Translation ...
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An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces ...
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XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment ...
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Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data ...
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An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces ...
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Findings of the 2018 conference on machine translation (WMT18)
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In: Bojar, Ondřej orcid:0000-0002-0606-0050 , Federmann, Christian, Fishel, Mark, Graham, Yvette, Haddow, Barry, Huck, Matthias, Koehn, Philipp and Monz, Christof (2018) Findings of the 2018 conference on machine translation (WMT18). In: Third Conference on Machine Translation, Volume 2: Shared Task Papers, 31 Oct - 1 Nov 2018, Brussels, Belgium. (2018)
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ParaCrawl Corpus version 1.0
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Koehn, Philipp; Heafield, Kenneth; Forcada, Mikel L.; Esplà-Gomis, Miquel; Ortiz-Rojas, Sergio; Sánchez, Gema Ramírez; Cartagena, Víctor M. Sánchez; Haddow, Barry; Bañón, Marta; Střelec, Marek; Samiotou, Anna; Kamran, Amir. - : ParaCrawl, 2018
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Abstract:
The January 2018 release of the ParaCrawl is the first version of the corpus. It contains parallel corpora for 11 languages paired with English, crawled from a large number of web sites. The selection of websites is based on CommonCrawl, but ParaCrawl is extracted from a brand new crawl which has much higher coverage of these selected websites than CommonCrawl. Since the data is fairly raw, it is released with two quality metrics that can be used for corpus filtering. An official "clean" version of each corpus uses one of the metrics. For more details and raw data download please visit: http://paracrawl.eu/releases.html
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Keyword:
CommonCrawl; machine translation; ParaCrawl; parallel corpus; text corpora
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URL: http://hdl.handle.net/11372/LRT-2610
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On the Impact of Various Types of Noise on Neural Machine Translation ...
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