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1
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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2
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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3
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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4
NUIG at TIAD 2021: Cross-lingual word embeddings for translation inference
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5
Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages ...
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ULD-NUIG at Social Media Mining for Health Applications (#SMM4H) Shared Task 2021 ...
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ULD-NUIG at Social Media Mining for Health Applications (#SMM4H) Shared Task 2021 ...
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8
Universal Dependencies 2.7
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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9
Universal Dependencies 2.6
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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10
Findings of the LoResMT 2020 shared task on zero-shot for low-resource languages
Liu, Chao-Hong; Karakanta, Alina; Ojha, Atul Kr.; Malykh, Valentin. - : Association for Computational Linguistics, 2020
Abstract: This paper presents the findings of the LoResMT 2020 Shared Task on zero-shot translation for low resource languages. This task was organised as part of the 3rd Workshop on Technologies for MT of Low Resource Languages (LoResMT) at AACL-IJCNLP 2020. The focus was on the zero-shot approach as a notable development in Neural Machine Translation to build MT systems for language pairs where parallel corpora are small or even nonexistent. The shared task experience suggests that back-translation and domain adaptation methods result in better accuracy for smallsize datasets. We further noted that, although translation between similar languages is no cakewalk, linguistically distinct languages require more data to give better results. ; This publication has emanated from research in part supported by the EU H2020 programme under grant agreements 731015 (ELEXIS-European Lexical Infrastructure). We are also grateful to Panlingua Language Processing LLP to provide Hindi, Bhojpuri, Magahi monolingual and parallel corpora. ; peer-reviewed
Keyword: LoResMT 2020; low resource languages; shared task; zero-shot translation
URL: http://hdl.handle.net/10379/16376
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11
NUIG-Panlingua-KMI Hindi-Marathi MT Systems for Similar Language Translation Task @ WMT 2020
Chakravarthi, Bharathi Raja; Kumar, Ritesh; Rani, Priya. - : Association for Computational Linguistics, 2020
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12
Developing a Multilingual Annotated Corpus of Misogyny and Aggression ...
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13
Universal Dependencies 2.5
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019
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14
The RGNLP Machine Translation Systems for WAT 2018 ...
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15
Automatic Identification of Closely-related Indian Languages: Resources and Experiments ...
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