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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
Abstract: Inducing new translation pairs across dictionaries is an important task that facilitates processing and maintaining lexicographical data. This paper describes our submissions to the Translation Inference Across Dictionaries (TIAD) shared task of 2021. Our systems mainly rely on the MUSE and VecMap cross-lingual word embedding mapping to create new translation pairs between English, French and Portuguese data. We also create two regression models based on the graph analysis features. Our systems perform above the baseline systems. ; This work has received funding from the EU’s Horizon 2020 Research and Innovation programme through the ELEXIS project under grant agreement No. 731015. ; peer-reviewed
Keyword: bilingual lexicon induction; distributional semantics; translation inference
URL: https://doi.org/10.13025/nxqc-n767
http://hdl.handle.net/10379/16973
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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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