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Combining Static and Contextualised Multilingual Embeddings ...
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Do Multilingual Language Models Capture Differing Moral Norms? ...
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Modeling Target-Side Morphology in Neural Machine Translation: A Comparison of Strategies ...
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Abstract:
Morphologically rich languages pose difficulties to machine translation. Machine translation engines that rely on statistical learning from parallel training data, such as state-of-the-art neural systems, face challenges especially with rich morphology on the output language side. Key challenges of rich target-side morphology in data-driven machine translation include: (1) A large amount of differently inflected word surface forms entails a larger vocabulary and thus data sparsity. (2) Some inflected forms of infrequent terms typically do not appear in the training corpus, which makes closed-vocabulary systems unable to generate these unobserved variants. (3) Linguistic agreement requires the system to correctly match the grammatical categories between inflected word forms in the output sentence, both in terms of target-side morpho-syntactic wellformedness and semantic adequacy with respect to the input. In this paper, we re-investigate two target-side linguistic processing techniques: a lemma-tag strategy ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2203.13550 https://arxiv.org/abs/2203.13550
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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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Do not neglect related languages: The case of low-resource Occitan cross-lingual word embeddings ...
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Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation ...
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Anchor-based Bilingual Word Embeddings for Low-Resource Languages ...
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Improving Machine Translation of Rare and Unseen Word Senses ...
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Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation ...
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Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction ...
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Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction
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Pragmatic information in translation: a corpus-based study of tense and mood in English and German ...
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ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation ...
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Anchor-based Bilingual Word Embeddings for Low-Resource Languages ...
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On the Language Neutrality of Pre-trained Multilingual Representations ...
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Embedding Learning Through Multilingual Concept Induction ...
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Embedding Learning Through Multilingual Concept Induction ...
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