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1
Combining Static and Contextualised Multilingual Embeddings ...
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2
Do Multilingual Language Models Capture Differing Moral Norms? ...
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3
Modeling Target-Side Morphology in Neural Machine Translation: A Comparison of Strategies ...
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4
Pushing the right buttons: adversarial evaluation of quality estimation
In: Proceedings of the Sixth Conference on Machine Translation ; 625 ; 638 (2022)
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5
Do not neglect related languages: The case of low-resource Occitan cross-lingual word embeddings ...
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6
Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation ...
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7
Anchor-based Bilingual Word Embeddings for Low-Resource Languages ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-short.30 Abstract: Good quality monolingual word embeddings (MWEs) can be built for languages which have large amounts of unlabeled text. MWEs can be aligned to bilingual spaces using only a few thousand word translation pairs. For low resource languages training MWEs monolingually results in MWEs of poor quality, and thus poor bilingual word embeddings (BWEs) as well. This paper proposes a new approach for building BWEs in which the vector space of the high resource source language is used as a starting point for training an embedding space for the low resource target language. By using the source vectors as anchors the vector spaces are automatically aligned during training. We experiment on English-German, English-Hiligaynon and English-Macedonian. We show that our approach results not only in improved BWEs and bilingual lexicon induction performance, but also in improved target language MWE quality as measured using monolingual word similarity. ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://underline.io/lecture/25993-anchor-based-bilingual-word-embeddings-for-low-resource-languages
https://dx.doi.org/10.48448/185j-hw60
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8
Improving Machine Translation of Rare and Unseen Word Senses ...
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9
Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation ...
NAACL 2021 2021; Chronopoulou, Alexandra; Fraser, Alexander. - : Underline Science Inc., 2021
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10
Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction ...
Severini, Silvia; Hangya, Viktor; Fraser, Alexander. - : Universitätsbibliothek der Ludwig-Maximilians-Universität München, 2020
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11
Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction
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12
Pragmatic information in translation: a corpus-based study of tense and mood in English and German ...
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13
ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation ...
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14
Anchor-based Bilingual Word Embeddings for Low-Resource Languages ...
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15
On the Language Neutrality of Pre-trained Multilingual Representations ...
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16
How Language-Neutral is Multilingual BERT? ...
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17
Modeling the position and inflection of verbs in English to German machine translation
Fraser, Alexander [Akademischer Betreuer]; Ramm, Anita [Verfasser]. - Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2018
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18
Embedding Learning Through Multilingual Concept Induction
Fraser, Alexander; Zhao, Mengjie; Dufter, Philipp. - : Ludwig-Maximilians-Universität München, 2018
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19
Embedding Learning Through Multilingual Concept Induction ...
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20
Embedding Learning Through Multilingual Concept Induction ...
Dufter, Philipp; Zhao, Mengjie; Schmitt, Martin. - : Universitätsbibliothek der Ludwig-Maximilians-Universität München, 2018
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