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How much context span is enough? Examining context-related issues for document-level MT
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In: Castilho, Sheila orcid:0000-0002-8416-6555 (2022) How much context span is enough? Examining context-related issues for document-level MT. In: 13th Language Resources and Evaluation Conference, 21-23 June 2022, Marseille, France. (In Press) (2022)
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| 2 |
An investigation of English-Irish machine translation and associated resources
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Dowling, Meghan. - : Dublin City University. School of Computing, 2022. : Dublin City University. ADAPT, 2022
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In: Dowling, Meghan orcid:0000-0003-1637-4923 (2022) An investigation of English-Irish machine translation and associated resources. PhD thesis, Dublin City University. (2022)
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| 3 |
One model for the learning of language.
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In: Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 5 (2022)
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| 4 |
Finding the best way to put media bias research into practice via an annotation app ...
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| 5 |
Movies with imaginary worlds cluster together because of exploration-related terms in plot summaries ...
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| 6 |
Finding the best way to put media bias research into practice through an annotation app ...
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| 9 |
Can distributional semantics explain performance on the false belief task? ...
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| 10 |
«Entrevista al Dr. Darío Villanueva, académico de número de la Real Academia Española. "Sin la creación, no existe literatura, pero solo con la creación de textos tampoco hay literatura"» ...
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| 11 |
«Entrevista al Dr. Darío Villanueva, académico de número de la Real Academia Española. "Sin la creación, no existe literatura, pero solo con la creación de textos tampoco hay literatura"» ...
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| 12 |
«Entrevista al doctor Darío Villanueva. “Sin la creación, no existe literatura, pero solo con la creación de textos tampoco hay literatura”» ...
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| 13 |
The glyph project: The distinctiveness of written characters — online crowdsourcing for a typology of letter shapes ...
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| 14 |
Hebrew Transformed: Machine Translation of Hebrew Using the Transformer Architecture
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| 20 |
Human-like learning of syntactic islands by neural networks ...
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