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John E. Ortega
John E. Ortega
Northeastern University
在 northeastern.edu 的电子邮件经过验证 - 首页
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Findings of the IWSLT 2022 Evaluation Campaign
A Anastasopoulos, L Barrault, L Bentivogli, MZ Boito, O Bojar, R Cattoni, ...
Proceedings of the 19th International Conference on Spoken Language …, 2022
972022
Computer assisted coding systems and methods
O Ferrandez-Escamez, ND Barrett, R Kondadadi, G Yegnanarayanan, ...
US Patent App. 15/632,152, 2018
872018
Findings of the AmericasNLP 2021 shared task on open machine translation for indigenous languages of the Americas
M Mager, A Oncevay, A Ebrahimi, J Ortega, AR Gonzales, A Fan, ...
Proceedings of the First Workshop on Natural Language Processing for …, 2021
752021
Americasnli: Evaluating zero-shot natural language understanding of pretrained multilingual models in truly low-resource languages
A Ebrahimi, M Mager, A Oncevay, V Chaudhary, L Chiruzzo, A Fan, ...
arXiv preprint arXiv:2104.08726, 2021
752021
A Comparative Study of Classifying Legal Documents with Neural Networks
S Undavia, A Meyers, JE Ortega
3rd International Workshop on Language Technologies and Applications, 511-518, 2018
632018
Neural machine translation with a polysynthetic low resource language
JE Ortega, R Castro Mamani, K Cho
Machine Translation, 2021
512021
Medical report coding with acronym/abbreviation disambiguation
R Kondadadi, G Yegnanarayanan, BW Delaney, J Ortega
US Patent 11,152,084, 2021
352021
Findings of the IWSLT 2023 Evaluation Campaign
S Agrawal, A Anastasopoulos, L Bentivogli, O Bojar, C Borg, M Carpuat, ...
Proceedings of the 20th International Conference on Spoken Language …, 2023
342023
The Termolator: Terminology Recognition Based on Chunking, Statistical and Search-Based Scores
O Meyers, Adam L. and He, Yifan and Glass, Zachary and Ortega, John and Liao ...
Frontiers in Research Metrics and Analytics 3, 19, 2018
302018
Overcoming resistance: The normalization of an Amazonian tribal language
JE Ortega, RA Castro-Mamani, JRM Samame
Proceedings of the 3rd Workshop on Technologies for MT of Low Resource …, 2020
272020
Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages
AK Ojha, CH Liu, K Kann, J Ortega, S Shatam, T Fransen
arXiv preprint arXiv:2108.06598, 2021
182021
Fuzzy-match repair using black-box machine translation systems: what can be expected?
J Ortega, F Sánchez‐Martínez, ML Forcada
Conferences of the Association for Machine Translation in the Americas: MT …, 2016
182016
Using Morphemes from Agglutinative Languages like Quechua and Finnish to Aid in Low-Resource Translation
J Ortega, K Pillaipakkamnatt
Association for Machine Translation in the Americas 2018, 2018
142018
Introducing QuBERT: A Large Monolingual Corpus and BERT Model for Southern Quechua
R Zevallos, J Ortega, W Chen, R Castro, N Bel, C Toshio, R Venturas, ...
Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural …, 2022
132022
The Nós Project: Opening routes for the Galician language in the field of language technologies
I de-Dios-Flores, C Magariños, AI Vladu, JE Ortega, JRP Campos, ...
Proceedings of the workshop towards digital language equality within the …, 2022
122022
ON-TRAC Consortium Systems for the IWSLT 2022 Dialect and Low-resource Speech Translation Tasks
MZ Boito, J Ortega, H Riguidel, A Laurent, L Barrault, F Bougares, ...
arXiv preprint arXiv:2205.01987, 2022
122022
A Comparison of Machine Translation Paradigms for Use in Black-Box Fuzzy-Match Repair
R Knowles, J Ortega, P Koehn
Association for Machine Translation in the Americas 2018, 249-255, 2018
112018
AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas
K Kann, A Ebrahimi, M Mager, A Oncevay, JE Ortega, A Rios, A Fan, ...
Frontiers in Artificial Intelligence 5, 995667, 2022
92022
Improving translations by combining fuzzy-match repair with automatic post-editing
J Ortega, F Sánchez‐Martínez, M Turchi, M Negri
Proceedings of Machine Translation Summit XVII: Research Track, 256-266, 2019
82019
Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable
K Church, A Schoene, JE Ortega, R Chandrasekar, V Kordoni
Natural Language Engineering 29 (2), 483-508, 2023
72023
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