Using any machine translation source for fuzzy-match repair in a computer-aided translation setting. - John E. Ortega; Felipe Sánchez-Martínez; Mikel L. Forcada (AMTA, 2014)

Fuzzy-match repair using black-box machine translation systems: what can be expected? - John E. Ortega; Felipe Sánchez-Martínez; Mikel L. Forcada (AMTA (1), 2016)

A Comparison of Machine Translation Paradigms for Use in Black-Box Fuzzy-Match Repair. - Rebecca Knowles; John E. Ortega; Philipp Koehn (PostEditing@AMTA, 2018)

Using Morphemes from Agglutinative Languages like Quechua and Finnish to Aid in Low-Resource Translation. - John E. Ortega; Krishnan Pillaipakkamnatt (LoResMT@AMTA, 2018)

Letting a Neural Network Decide Which Machine Translation System to Use for Black-Box Fuzzy-Match Repair. - John E. Ortega; Weiyi Lu; Adam Meyers 001; Kyunghyun Cho (EAMT, 2018)

A Comparative Study of Classifying Legal Documents with Neural Networks. - Samir Undavia; Adam Meyers 001; John E. Ortega (FedCSIS, 2018)

The Termolator: Terminology Recognition Based on Chunking, Statistical and Search-Based Scores. - Adam L. Meyers; Yifan He 006; Zachary Glass; John E. Ortega; Shasha Liao; Angus Grieve-Smith; Ralph Grishman; Olga Babko-Malaya (Frontiers Res. Metrics Anal., 2018)

Improving Translations by Combining Fuzzy-Match Repair with Automatic Post-Editing. - John E. Ortega; Felipe Sánchez-Martínez; Marco Turchi; Matteo Negri (MTSummit (1), 2019)

Neural machine translation with a polysynthetic low resource language. - John E. Ortega; Richard Castro Mamani; Kyunghyun Cho (Mach. Transl., 2020)

Findings of the Second AmericasNLP Competition on Speech-to-Text Translation. - Abteen Ebrahimi; Manuel Mager; Adam Wiemerslage; Pavel Denisov; Arturo Oncevay; Danni Liu; Sai Koneru; Enes Yavuz Ugan; Zhaolin Li; Jan Niehues; Monica Romero; Iván G. Torre; et al. (NeurIPS (Competition and Demos), 2021)

AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages. - Abteen Ebrahimi; Manuel Mager; Arturo Oncevay; Vishrav Chaudhary; Luis Chiruzzo; Angela Fan; John E. Ortega; Ricardo Ramos; Annette Rios; Ivan Vladimir; Gustavo Alberto Giménez Lugo; Elisabeth Mager; et al. (CoRR, 2021)

Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages. - Atul Kr. Ojha; Chao-Hong Liu; Katharina Kann; John E. Ortega; Sheetal Shatam; Theodorus Fransen (CoRR, 2021)

AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages. - Abteen Ebrahimi; Manuel Mager; Arturo Oncevay; Vishrav Chaudhary; Luis Chiruzzo; Angela Fan; John E. Ortega; Ricardo Ramos; Annette Rios; Iván Vladimir Meza Ruíz; Gustavo Giménez Lugo; Elisabeth Mager; et al. (ACL (1), 2022)

WordNet-QU: Development of a Lexical Database for Quechua Varieties. - Nelsi Melgarejo; Rodolfo Zevallos; Hector Gomez; John E. Ortega (COLING, 2022)

Revisiting CCNet for Quality Measurements in Galician. - John E. Ortega; Iria de-Dios-Flores; José Ramom Pichel Campos; Pablo Gamallo 001 (PROPOR, 2022)

A neural machine translation system for Galician from transliterated Portuguese text. - John E. Ortega; Iria de-Dios-Flores; José Ramom Pichel Campos; Pablo Gamallo 001 (SEPLN (Projects and Demonstrations), 2022)

Proxecto Nós: Artificial intelligence at the service of the Galician language. - Adina Ioana Vladu; Iria de-Dios-Flores; Carmen Magariños; John E. Ortega; José Ramom Pichel Campos; Marcos García 001; Pablo Gamallo 001; Elisa Fernández Rei; Alberto Bugarín; Manuel González González; Senén Barro; Xose Luis Regueira (SEPLN (Projects and Demonstrations), 2022)

Enhancing Networking Cipher Algorithms with Natural Language. - John E. Ortega (CoRR, 2022)

Addressing Distribution Shift at Test Time in Pre-trained Language Models. - Ayush Singh; John E. Ortega (CoRR, 2022)

AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas. - Katharina Kann; Abteen Ebrahimi; Manuel Mager; Arturo Oncevay; John E. Ortega; Annette Rios; Angela Fan; Ximena Gutierrez-Vasques; Luis Chiruzzo; Gustavo Alberto Giménez Lugo; Ricardo Ramos; Iván Vladimir Meza Ruíz; et al. (Frontiers Artif. Intell., 2022)

Fuzzy-Match Repair Guided by Quality Estimation. - John E. Ortega; Mikel L. Forcada; Felipe Sánchez-Martínez (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models. - Abteen Ebrahimi; Arya D. McCarthy; Arturo Oncevay; John E. Ortega; Luis Chiruzzo; Gustavo Giménez Lugo; Rolando Coto-Solano; Katharina Kann (EACL, 2023)

An Example of (Too Much) Hyper-Parameter Tuning In Suicide Ideation Detection. - Annika Marie Schoene; John E. Ortega; Silvio Amir; Kenneth Church 001 (ICWSM, 2023)

Findings of the IWSLT 2023 Evaluation Campaign. - Sweta Agrawal; Antonios Anastasopoulos; Luisa Bentivogli; Ondrej Bojar; Claudia Borg; Marine Carpuat; Roldano Cattoni; Mauro Cettolo; Mingda Chen; William Chen; Khalid Choukri; Alexandra Chronopoulou; et al. (IWSLT@ACL, 2023)

QUESPA Submission for the IWSLT 2023 Dialect and Low-resource Speech Translation Tasks. - John E. Ortega; Rodolfo Zevallos; William Chen (IWSLT@ACL, 2023)

A Research-Based Guide for the Creation and Deployment of a Low-Resource Machine Translation System. - John E. Ortega; Kenneth Church 001 (RANLP, 2023)

Classification of US Supreme Court Cases Using BERT-Based Techniques. - Shubham Vatsal; Adam Meyers 001; John E. Ortega (RANLP, 2023)

Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable. - Kenneth Church 001; Annika Marie Schoene; John E. Ortega; Raman Chandrasekar; Valia Kordoni (Nat. Lang. Eng., 2023)

Predicting Anchored Text from Translation Memories for Machine Translation Using Deep Learning Methods. - Richard Yue; John E. Ortega (AMTA (1), 2024)

On Translating Technical Terminology: A Translation Workflow for Machine-Translated Acronyms. - Richard Yue; John E. Ortega; Kenneth Church 001 (AMTA (1), 2024)

Evaluating Self-Supervised Speech Representations for Indigenous American Languages. - Chih-Chen Chen; William Chen; Rodolfo Joel Zevallos Salazar; John E. Ortega (LREC/COLING, 2024)

Related Work Is All You Need. - Rodolfo Joel Zevallos Salazar; John E. Ortega; Benjamin Irving (LREC/COLING, 2024)

Is it safe to machine translate suicide-related language from English to Galician? - John E. Ortega; Annika Marie Schoene (PROPOR (1), 2024)

Nollywood: Let's Go to the Movies! - John E. Ortega; Ibrahim Said Ahmad; William Chen (CoRR, 2024)

NLP Case Study on Predicting the Before and After of the Ukraine-Russia and Hamas-Israel Conflicts. - Jordan Miner; John E. Ortega (CoRR, 2024)

Findings of the IWSLT 2024 Evaluation Campaign. - Ibrahim Said Ahmad; Antonios Anastasopoulos; Ondrej Bojar; Claudia Borg; Marine Carpuat; Roldano Cattoni; Mauro Cettolo; William Chen; Qianqian Dong; Marcello Federico; Barry Haddow; Dávid Javorský; et al. (CoRR, 2024)

NeighBERT: Medical Entity Linking Using Relation-Induced Dense Retrieval. - Ayush Singh; Saranya Krishnamoorthy; John E. Ortega (J. Heal. Informatics Res., 2024)

The Role of Handling Attributive Nouns in Improving Chinese-To-English Machine Translation. - Adam Meyers 001; Rodolfo Joel Zevallos Salazar; John E. Ortega; Lisa Wang (COLING Workshops, 2025)

Is Peer-Reviewing Worth the Effort? - Kenneth Ward Church; Raman Chandrasekar; John E. Ortega; Ibrahim Said Ahmad (COLING, 2025)

Semantic Role Labeling of NomBank Partitives. - Adam Meyers 001; Advait Pravin Savant; John E. Ortega (COLING, 2025)

The First Multilingual Model For The Detection of Suicide Texts. - Rodolfo Joel Zevallos Salazar; Annika Marie Schoene; John E. Ortega (COLING Workshops, 2025)

Lexicography Saves Lives (LSL): Automatically Translating Suicide-Related Language. - Annika Marie Schoene; John E. Ortega; Rodolfo Joel Zevallos Salazar; Laura Haaber Ihle (COLING, 2025)