Parker Riley

According to our database, Parker Riley authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set.

Mara Finkelstein, Daniel Deutsch, Parker Riley, Juraj Juraska, Geza Kovacs, Markus Freitag

CoRR, 2024

Beyond Human-Only: Evaluating Human-Machine Collaboration for Collecting High-Quality Translation Data.

Zhongtao Liu, Parker Riley, Daniel Deutsch, Alison Lui, Mengmeng Niu, Apu Shah, Markus Freitag

CoRR, 2024

Beyond Human-Only: Evaluating Human-Machine Collaboration for Collecting High-Quality Translation Data.

Zhongtao Liu, Parker Riley, Daniel Deutsch, Alison Lui, Mengmeng Niu, Apurva Shah, Markus Freitag

Proceedings of the Ninth Conference on Machine Translation, 2024

Finding Replicable Human Evaluations via Stable Ranking Probability.

Parker Riley, Daniel Deutsch, George F. Foster, Viresh Ratnakar, Ali Dabirmoghaddam, Markus Freitag

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation.

Parker Riley, Timothy Dozat, Jan A. Botha, Xavier Garcia, Dan Garrette, Jason Riesa, Orhan Firat, Noah Constant

Trans. Assoc. Comput. Linguistics, 2023

The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation.

Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André F. T. Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat

CoRR, 2023

The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation.

Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat

Proceedings of the Eighth Conference on Machine Translation, 2023

XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages.

Sebastian Ruder, Jonathan H. Clark, Alexander Gutkin, Mihir Kale, Min Ma, Massimo Nicosia, Shruti Rijhwani, Parker Riley, Jean Michel A. Sarr, Xinyi Wang, John Wieting, Nitish Gupta, Anna Katanova, Christo Kirov, Dana L. Dickinson, Brian Roark, Bidisha Samanta, Connie Tao, David Ifeoluwa Adelani, Vera Axelrod, Isaac Caswell, Colin Cherry, Dan Garrette, R. Reeve Ingle, Melvin Johnson, Dmitry Panteleev, Partha Talukdar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021

Outside Computation with Superior Functions.

Parker Riley, Daniel Gildea

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling.

Parker Riley, Noah Constant, Mandy Guo, Girish Kumar, David C. Uthus, Zarana Parekh

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

TextSETTR: Label-Free Text Style Extraction and Tunable Targeted Restyling.

Parker Riley, Noah Constant, Mandy Guo, Girish Kumar, David C. Uthus, Zarana Parekh

CoRR, 2020

Unsupervised Bilingual Lexicon Induction Across Writing Systems.

Parker Riley, Daniel Gildea

CoRR, 2020

Translationese as a Language in "Multilingual" NMT.

Parker Riley, Isaac Caswell, Markus Freitag, David Grangier

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018

Feature-Based Decipherment for Machine Translation.

Iftekhar Naim, Parker Riley, Daniel Gildea

Comput. Linguistics, 2018

Orthographic Features for Bilingual Lexicon Induction.

Parker Riley, Daniel Gildea

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018