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Philip Arthur
Philip Arthur
Verified email at oracle.com
Title
Cited by
Cited by
Year
Incorporating discrete translation lexicons into neural machine translation
P Arthur, G Neubig, S Nakamura
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
2192016
XNMT: The extensible neural machine translation toolkit
G Neubig, M Sperber, X Wang, M Felix, A Matthews, S Padmanabhan, ...
arXiv preprint arXiv:1803.00188, 2018
752018
Multilingual neural machine translation with soft decoupled encoding
X Wang, H Pham, P Arthur, G Neubig
arXiv preprint arXiv:1902.03499, 2019
622019
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the “speaking rosetta” JSALT 2017 workshop
O Scharenborg, L Besacier, A Black, M Hasegawa-Johnson, F Metze, ...
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
51*2018
Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning
P Arthur, T Cohn, G Haffari
Proceedings of the 16th Conference of the European Chapter of the …, 2021
20*2021
Neural machine translation via binary code prediction
Y Oda, P Arthur, G Neubig, K Yoshino, S Nakamura
arXiv preprint arXiv:1704.06918, 2017
172017
Multi-target machine translation with multi-synchronous context-free grammars
G Neubig, P Arthur, K Duh
Proceedings of the 2015 Conference of the North American Chapter of the …, 2015
152015
Semantic parsing of ambiguous input through paraphrasing and verification
P Arthur, G Neubig, S Sakti, T Toda, S Nakamura
Transactions of the Association for Computational Linguistics 3, 571-584, 2015
132015
It is not as good as you think! evaluating simultaneous machine translation on interpretation data
J Zhao, P Arthur, G Haffari, T Cohn, E Shareghi
arXiv preprint arXiv:2110.05213, 2021
62021
NAIST at the CLEF 2013 QA4MRE Pilot Task.
P Arthur, G Neubig, S Sakti, T Toda, S Nakamura
CLEF (Working Notes), 2013
42013
Multilingual simultaneous neural machine translation
P Arthur, DK Ryu, R Haffari
Annual Meeting of the Association of Computational Linguistics and …, 2021
32021
ParaCotta: Synthetic Multilingual Paraphrase Corpora from the Most Diverse Translation Sample Pair
A Fikri Aji, TN Fatyanosa, R Eko Prasojo, P Arthur, S Fitriany, S Qonitah, ...
arXiv e-prints, arXiv: 2205.04651, 2022
2*2022
Inter-Sentence Features and Thresholded Minimum Error Rate Training: NAIST at CLEF 2013 QA4MRE.
P Arthur, G Neubig, S Sakti, T Toda, S Nakamura
CLEF (Working Notes), 2013
22013
Data manufacturing frameworks for synthesizing synthetic training data to facilitate training a natural language to logical form model
P Arthur, V Vishnoi, ME Johnson, TL Duong, SPK Gadde, BS Vinnakota, ...
US Patent App. 18/065,422, 2023
12023
Semantic parsing of ambiguous input using multi synchronous grammars
P Arthur, G Neubig, S Sakti, S Nakamura, T Toda
12016
Techniques for converting a natural language utterance to an intermediate database query representation
CDV Hoang, SA McRitchie, ME Johnson, S SUBRAMANIAN, AD Kanuga, ...
US Patent App. 18/209,844, 2024
2024
Detecting out-of-domain, out-of-scope, and confusion-span (oocs) input for a natural language to logical form model
G Tangari, CDV Hoang, P Zaremoodi, P Arthur, N Mathur, ME Johnson, ...
US Patent App. 18/236,071, 2024
2024
Techniques for augmenting training data for aggregation and sorting database operations in a natural language to database query system
G Tangari, N Mathur, P Arthur, CDV Hoang, AD Kanuga, SWC Siu, ...
US Patent App. 18/218,385, 2024
2024
Transforming natural language to structured query language based on scalable search and content-based schema linking
JM John, V Vishnoi, ME Johnson, TL Duong, SPK Gadde, BS Vinnakota, ...
US Patent App. 18/065,387, 2023
2023
Data manufacturing frameworks for synthesizing synthetic training data to facilitate training a natural language to logical form model
P Arthur, V Vishnoi, ME Johnson, TL Duong, SPK Gadde, BS Vinnakota, ...
US Patent App. 18/065,406, 2023
2023
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