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2020 – today
- 2024
[c148]Xuan Zhang, Kevin Duh:
Best Practices of Successive Halving on Neural Machine Translation and Large Language Models. AMTA (1) 2024: 130-139- [c147]Bismarck Bamfo Odoom, Nathaniel R. Robinson, Elijah Rippeth, Luis Tavarez-Arce, Kenton Murray, Matthew Wiesner, Paul McNamee, Philipp Koehn, Kevin Duh:
Can Synthetic Speech Improve End-to-End Conversational Speech Translation? AMTA (1) 2024: 167-177 - [c146]Neha Verma, Kenton Murray, Kevin Duh:
Exploring Geometric Representational Disparities between Multilingual and Bilingual Translation Models. LREC/COLING 2024: 6909-6921 - [c145]Peter Viechnicki, Kevin Duh, Anthony Kostacos, Barbara Landau:
Large-Scale Bitext Corpora Provide New Evidence for Cognitive Representations of Spatial Terms. EACL (1) 2024: 1089-1099 - [c144]HyoJung Han, Kevin Duh, Marine Carpuat:
SpeechQE: Estimating the Quality of Direct Speech Translation. EMNLP 2024: 21852-21867 - [c143]Suzanna Sia, Alexandra DeLucia, Kevin Duh:
Anti-LM Decoding for Zero-shot In-context Machine Translation. NAACL-HLT (Findings) 2024: 3403-3420 - [e7]Kevin Duh, Helena Gómez-Adorno, Steven Bethard:
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, NAACL 2024, Mexico City, Mexico, June 16-21, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-115-5 [contents] - [e6]Kevin Duh, Helena Gómez-Adorno, Steven Bethard:
Findings of the Association for Computational Linguistics: NAACL 2024, Mexico City, Mexico, June 16-21, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-119-3 [contents] - [i56]Suzanna Sia, David Mueller, Kevin Duh:
Where does In-context Translation Happen in Large Language Models. CoRR abs/2403.04510 (2024) - [i55]Ryan Cotterell, Kevin Duh:
Low-Resource Named Entity Recognition with Cross-Lingual, Character-Level Neural Conditional Random Fields. CoRR abs/2404.09383 (2024) - [i54]Eugene Yang, Suraj Nair, Dawn J. Lawrie, James Mayfield, Douglas W. Oard, Kevin Duh:
Efficiency-Effectiveness Tradeoff of Probabilistic Structured Queries for Cross-Language Information Retrieval. CoRR abs/2404.18797 (2024) - [i53]Zexin Cai, Henry Li Xinyuan, Ashi Garg, Leibny Paola García-Perera, Kevin Duh, Sanjeev Khudanpur, Nicholas Andrews, Matthew Wiesner:
Privacy versus Emotion Preservation Trade-offs in Emotion-Preserving Speaker Anonymization. CoRR abs/2409.03655 (2024) - [i52]Henry Li Xinyuan, Zexin Cai, Ashi Garg, Kevin Duh, Leibny Paola García-Perera, Sanjeev Khudanpur, Nicholas Andrews, Matthew Wiesner:
HLTCOE JHU Submission to the Voice Privacy Challenge 2024. CoRR abs/2409.08913 (2024) - 2023
- [c142]Xuan Zhang, Kevin Duh, Paul McNamee:
A Hyperparameter Optimization Toolkit for Neural Machine Translation Research. ACL (demo) 2023: 161-168 - [c141]Paul McNamee, Kevin Duh:
An Extensive Exploration of Back-Translation in 60 Languages. ACL (Findings) 2023: 8166-8183 - [c140]Xuan Zhang, Kevin Duh:
Handshape-Aware Sign Language Recognition: Extended Datasets and Exploration of Handshape-Inclusive Methods. EMNLP (Findings) 2023: 2993-3002 - [c139]Cihan Xiao, Henry Li Xinyuan, Jinyi Yang, Dongji Gao, Matthew Wiesner, Kevin Duh, Sanjeev Khudanpur:
HK-LegiCoST: Leveraging Non-Verbatim Transcripts for Speech Translation. INTERSPEECH 2023: 4074-4078 - [c138]Sweta Agrawal, Antonios Anastasopoulos, Luisa Bentivogli, Ondrej Bojar, Claudia Borg
, Marine Carpuat, Roldano Cattoni, Mauro Cettolo, Mingda Chen, William Chen, Khalid Choukri, Alexandra Chronopoulou, Anna Currey, Thierry Declerck, Qianqian Dong, Kevin Duh, Yannick Estève, Marcello Federico, Souhir Gahbiche, Barry Haddow, Benjamin Hsu, Phu Mon Htut, Hirofumi Inaguma, Dávid Javorský, John Judge, Yasumasa Kano, Tom Ko, Rishu Kumar, Pengwei Li, Xutai Ma, Prashant Mathur, Evgeny Matusov, Paul McNamee, John P. McCrae, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Ha Nguyen, Jan Niehues, Xing Niu, Atul Kr. Ojha, John E. Ortega, Proyag Pal, Juan Pino, Lonneke van der Plas, Peter Polák, Elijah Rippeth, Elizabeth Salesky, Jiatong Shi, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Yun Tang, Brian Thompson, Kevin Tran, Marco Turchi, Alex Waibel, Mingxuan Wang, Shinji Watanabe, Rodolfo Zevallos:
Findings of the IWSLT 2023 Evaluation Campaign. IWSLT@ACL 2023: 1-61 - [c137]Jeremy Gwinnup, Tim Anderson, Brian M. Ore, Eric G. Hansen, Kevin Duh:
Enhancing Video Translation Context with Object Labels. IWSLT@ACL 2023: 130-137 - [c136]Xuan Zhang, Navid Rajabi, Kevin Duh, Philipp Koehn:
Machine Translation with Large Language Models: Prompting, Few-shot Learning, and Fine-tuning with QLoRA. WMT 2023: 468-481 - [i51]Suzanna Sia, Kevin Duh:
In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models. CoRR abs/2305.03573 (2023) - [i50]Neha Verma, Kenton Murray, Kevin Duh:
Exploring Representational Disparities Between Multilingual and Bilingual Translation Models. CoRR abs/2305.14230 (2023) - [i49]Jeremy Gwinnup, Kevin Duh:
A Survey of Vision-Language Pre-training from the Lens of Multimodal Machine Translation. CoRR abs/2306.07198 (2023) - [i48]Cihan Xiao, Henry Li Xinyuan, Jinyi Yang, Dongji Gao, Matthew Wiesner, Kevin Duh, Sanjeev Khudanpur:
HK-LegiCoST: Leveraging Non-Verbatim Transcripts for Speech Translation. CoRR abs/2306.11252 (2023) - [i47]Suzanna Sia, Alexandra DeLucia, Kevin Duh:
Anti-LM Decoding for Zero-shot In-context Machine Translation. CoRR abs/2311.08324 (2023) - [i46]Elijah Rippeth, Marine Carpuat, Kevin Duh, Matt Post:
Improving Word Sense Disambiguation in Neural Machine Translation with Salient Document Context. CoRR abs/2311.15507 (2023) - 2022
- [c135]Suzanna Sia, Kokil Jaidka, Niyati Chayya, Kevin Duh:
Modeling Constraints Can Identify Winning Arguments in Multi-Party Interactions (Student Abstract). AAAI 2022: 13049-13050 - [c134]Neha Verma, Kenton Murray, Kevin Duh:
Strategies for Adapting Multilingual Pre-training for Domain-Specific Machine Translation. AMTA 2022: 31-44 - [c133]Suzanna Sia, Kevin Duh:
Prefix Embeddings for In-context Machine Translation. AMTA 2022: 45-57 - [c132]Kiron Deb, Xuan Zhang, Kevin Duh:
Post-Hoc Interpretation of Transformer Hyperparameters with Explainable Boosting Machines. BlackboxNLP@EMNLP 2022: 51-61 - [c131]Suraj Nair, Eugene Yang, Dawn J. Lawrie, Kevin Duh, Paul McNamee, Kenton Murray, James Mayfield, Douglas W. Oard:
Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models. ECIR (1) 2022: 382-396 - [c130]Kelly Marchisio, Ali Saad-Eldin, Kevin Duh, Carey E. Priebe, Philipp Koehn:
Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport. EMNLP 2022: 2545-2561 - [c129]Kelly Marchisio, Neha Verma, Kevin Duh, Philipp Koehn:
IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces. EMNLP 2022: 6019-6033 - [c128]Odunayo Ogundepo, Xinyu Zhang, Shuo Sun, Kevin Duh, Jimmy Lin:
AfriCLIRMatrix: Enabling Cross-Lingual Information Retrieval for African Languages. EMNLP 2022: 8721-8728 - [c127]Suzanna Sia, Kokil Jaidka, Hansin Ahuja, Niyati Chhaya, Kevin Duh:
Offer a Different Perspective: Modeling the Belief Alignment of Arguments in Multi-party Debates. EMNLP 2022: 11939-11950 - [c126]Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, Marcely Zanon Boito, Ondrej Bojar, Roldano Cattoni, Anna Currey, Georgiana Dinu, Kevin Duh, Maha Elbayad, Clara Emmanuel, Yannick Estève, Marcello Federico, Christian Federmann, Souhir Gahbiche, Hongyu Gong, Roman Grundkiewicz, Barry Haddow, Benjamin Hsu, Dávid Javorský, Vera Kloudová, Surafel Melaku Lakew, Xutai Ma, Prashant Mathur, Paul McNamee, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Jan Niehues, Xing Niu, John Ortega, Juan Miguel Pino, Elizabeth Salesky, Jiatong Shi, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Marco Turchi, Yogesh Virkar, Alexander Waibel, Changhan Wang, Shinji Watanabe:
Findings of the IWSLT 2022 Evaluation Campaign. IWSLT@ACL 2022: 98-157 - [c125]Paul McNamee, Kevin Duh:
The Multilingual Microblog Translation Corpus: Improving and Evaluating Translation of User-Generated Text. LREC 2022: 910-918 - [e5]Kevin Duh, Francisco Guzmán, Stephen Richardson:
Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), AMTA 2022, Orlando, USA, September 12-16, 2022. Association for Machine Translation in the Americas 2022 [contents] - [i45]Suraj Nair, Eugene Yang, Dawn J. Lawrie, Kevin Duh, Paul McNamee, Kenton Murray, James Mayfield, Douglas W. Oard:
Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models. CoRR abs/2201.08471 (2022) - [i44]Kelly Marchisio, Neha Verma, Kevin Duh, Philipp Koehn:
IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces. CoRR abs/2210.05098 (2022) - [i43]Kelly Marchisio, Ali Saad-Eldin, Kevin Duh, Carey E. Priebe, Philipp Koehn:
Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport. CoRR abs/2210.14378 (2022) - 2021
- [c124]Winston Wu, Kevin Duh, David Yarowsky:
Sequence Models for Computational Etymology of Borrowings. ACL/IJCNLP (Findings) 2021: 4032-4037 - [c123]Jiatong Shi, Jonathan D. Amith, Rey Castillo García, Esteban Guadalupe Sierra, Kevin Duh, Shinji Watanabe:
Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yolóxochitl Mixtec. EACL 2021: 1134-1145 - [c122]Suzanna Sia, Kevin Duh:
Adaptive Mixed Component LDA for Low Resource Topic Modeling. EACL 2021: 2451-2469 - [c121]Kelly Marchisio, Youngser Park, Ali Saad-Eldin, Anton Alyakin, Kevin Duh, Carey E. Priebe, Philipp Koehn:
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces. EMNLP (Findings) 2021: 738-749 - [c120]Mitchell A. Gordon, Kevin Duh, Jared Kaplan:
Data and Parameter Scaling Laws for Neural Machine Translation. EMNLP (1) 2021: 5915-5922 - [c119]Hirofumi Inaguma, Yosuke Higuchi, Kevin Duh, Tatsuya Kawahara, Shinji Watanabe:
ORTHROS: non-autoregressive end-to-end speech translation With dual-decoder. ICASSP 2021: 7503-7507 - [c118]Hirofumi Inaguma, Brian Yan, Siddharth Dalmia, Pengcheng Guo, Jiatong Shi, Kevin Duh, Shinji Watanabe:
ESPnet-ST IWSLT 2021 Offline Speech Translation System. IWSLT 2021: 100-109 - [c117]Lei Zhou, Liang Ding, Kevin Duh, Shinji Watanabe, Ryohei Sasano, Koichi Takeda:
Self-Guided Curriculum Learning for Neural Machine Translation. IWSLT 2021: 206-214 - [c116]Kevin Duh, Francisco Guzmán:
Proceedings of the 18th Biennial Machine Translation Summit (Volume 1: Research Track). MTSummit (1) 2021 - [c115]Xuan Zhang, Kevin Duh:
Approaching Sign Language Gloss Translation as a Low-Resource Machine Translation Task. AT4SSL@MTSummit 2021: 60-70 - [e4]Kevin Duh, Francisco Guzmán, Stephen Richardson:
Proceedings of the 18th Biennial Machine Translation Summit - Volume 1: Research Track, MTSummit 2021 Virtual, August 16-20, 2021. Association for Machine Translation in the Americas 2021 [contents] - [i42]Jiatong Shi, Jonathan D. Amith, Rey Castillo García, Esteban Guadalupe Sierra, Kevin Duh, Shinji Watanabe:
Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yoloxóchitl Mixtec. CoRR abs/2101.10877 (2021) - [i41]Lei Zhou, Liang Ding, Kevin Duh, Shinji Watanabe, Ryohei Sasano, Koichi Takeda:
Self-Guided Curriculum Learning for Neural Machine Translation. CoRR abs/2105.04475 (2021) - [i40]Hirofumi Inaguma, Brian Yan, Siddharth Dalmia, Pengcheng Guo, Jiatong Shi, Kevin Duh, Shinji Watanabe:
ESPnet-ST IWSLT 2021 Offline Speech Translation System. CoRR abs/2107.00636 (2021) - [i39]Hirofumi Inaguma, Yosuke Higuchi, Kevin Duh, Tatsuya Kawahara, Shinji Watanabe:
Non-autoregressive End-to-end Speech Translation with Parallel Autoregressive Rescoring. CoRR abs/2109.04411 (2021) - [i38]Kelly Marchisio, Youngser Park, Ali Saad-Eldin, Anton Alyakin, Kevin Duh, Carey E. Priebe, Philipp Koehn:
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces. CoRR abs/2109.12640 (2021) - 2020
- [j19]Sorami Hisamoto, Matt Post, Kevin Duh:
Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System? Trans. Assoc. Comput. Linguistics 8: 49-63 (2020) - [j18]Xuan Zhang, Kevin Duh:
Reproducible and Efficient Benchmarks for Hyperparameter Optimization of Neural Machine Translation Systems. Trans. Assoc. Comput. Linguistics 8: 393-408 (2020) - [c114]Shuo Sun, Suzanna Sia, Kevin Duh:
CLIReval: Evaluating Machine Translation as a Cross-Lingual Information Retrieval Task. ACL (demo) 2020: 134-141 - [c113]Hirofumi Inaguma, Shun Kiyono, Kevin Duh, Shigeki Karita, Nelson Yalta, Tomoki Hayashi, Shinji Watanabe:
ESPnet-ST: All-in-One Speech Translation Toolkit. ACL (demo) 2020: 302-311 - [c112]Mitchell A. Gordon, Kevin Duh:
Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation. NGT@ACL 2020: 110-118 - [c111]Jason Naradowsky, Xuan Zhang, Kevin Duh:
Machine Translation System Selection from Bandit Feedback. AMTA 2020: 50-63 - [c110]Shuo Sun, Kevin Duh:
CLIRMatrix: A massively large collection of bilingual and multilingual datasets for Cross-Lingual Information Retrieval. EMNLP (1) 2020: 4160-4170 - [c109]Kevin Duh, Paul McNamee, Matt Post, Brian Thompson:
Benchmarking Neural and Statistical Machine Translation on Low-Resource African Languages. LREC 2020: 2667-2675 - [c108]Mitchell A. Gordon, Kevin Duh, Nicholas Andrews:
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning. RepL4NLP@ACL 2020: 143-155 - [c107]Kelly Marchisio, Kevin Duh, Philipp Koehn:
When Does Unsupervised Machine Translation Work? WMT@EMNLP 2020: 571-583 - [p1]Takahiro Shinozaki, Shinji Watanabe, Kevin Duh:
Automated Development of DNN Based Spoken Language Systems Using Evolutionary Algorithms. Deep Neural Evolution 2020: 97-129 - [i37]Mitchell A. Gordon, Kevin Duh, Nicholas Andrews:
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning. CoRR abs/2002.08307 (2020) - [i36]Jason Naradowsky, Xuan Zhang, Kevin Duh:
Machine Translation System Selection from Bandit Feedback. CoRR abs/2002.09646 (2020) - [i35]Mitchell A. Gordon, Kevin Duh:
Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation. CoRR abs/2003.02877 (2020) - [i34]Kelly Marchisio, Kevin Duh, Philipp Koehn:
When Does Unsupervised Machine Translation Work? CoRR abs/2004.05516 (2020) - [i33]Hirofumi Inaguma, Shun Kiyono, Kevin Duh, Shigeki Karita, Nelson Enrique Yalta Soplin, Tomoki Hayashi, Shinji Watanabe:
ESPnet-ST: All-in-One Speech Translation Toolkit. CoRR abs/2004.10234 (2020) - [i32]Shuo Sun, Kevin Duh:
Modeling Document Interactions for Learning to Rank with Regularized Self-Attention. CoRR abs/2005.03932 (2020) - [i31]Xiaodong Liu, Kevin Duh, Liyuan Liu, Jianfeng Gao:
Very Deep Transformers for Neural Machine Translation. CoRR abs/2008.07772 (2020) - [i30]Hirofumi Inaguma, Yosuke Higuchi, Kevin Duh, Tatsuya Kawahara, Shinji Watanabe:
Orthros: Non-autoregressive End-to-end Speech Translation with Dual-decoder. CoRR abs/2010.13047 (2020)
2010 – 2019
- 2019
- [j17]Takafumi Moriya, Tomohiro Tanaka, Takahiro Shinozaki, Shinji Watanabe, Kevin Duh:
Evolution-Strategy-Based Automation of System Development for High-Performance Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 27(1): 77-88 (2019) - [c106]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
AMR Parsing as Sequence-to-Graph Transduction. ACL (1) 2019: 80-94 - [c105]Hirofumi Inaguma, Kevin Duh, Tatsuya Kawahara, Shinji Watanabe:
Multilingual End-to-End Speech Translation. ASRU 2019: 570-577 - [c104]Brian Thompson, Rebecca Knowles, Xuan Zhang, Huda Khayrallah, Kevin Duh, Philipp Koehn:
HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation. EMNLP/IJCNLP (1) 2019: 1382-1387 - [c103]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
Broad-Coverage Semantic Parsing as Transduction. EMNLP/IJCNLP (1) 2019: 3784-3796 - [c102]Hirofumi Inaguma, Shun Kiyono, Nelson Enrique Yalta Soplin, Jun Suzuki, Kevin Duh, Shinji Watanabe:
ESPnet How2 Speech Translation System for IWSLT 2019: Pre-training, Knowledge Distillation, and Going Deeper. IWSLT 2019 - [c101]Mahsa Yarmohammadi, Xutai Ma, Sorami Hisamoto, Muhammad Rahman, Yiming Wang, Hainan Xu, Daniel Povey, Philipp Koehn, Kevin Duh:
Robust Document Representations for Cross-Lingual Information Retrieval in Low-Resource Settings. MTSummit (1) 2019: 12-20 - [c100]Shuoyang Ding, Adithya Renduchintala, Kevin Duh:
A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation. MTSummit (1) 2019: 204-213 - [c99]Marianna J. Martindale, Marine Carpuat, Kevin Duh, Paul McNamee:
Identifying Fluently Inadequate Output in Neural and Statistical Machine Translation. MTSummit (1) 2019: 233-243 - [c98]Adithya Renduchintala, Pamela Shapiro, Kevin Duh, Philipp Koehn:
Character-Aware Decoder for Translation into Morphologically Rich Languages. MTSummit (1) 2019: 244-255 - [c97]Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh:
Curriculum Learning for Domain Adaptation in Neural Machine Translation. NAACL-HLT (1) 2019: 1903-1915 - [c96]Brian Thompson, Jeremy Gwinnup, Huda Khayrallah, Kevin Duh, Philipp Koehn:
Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation. NAACL-HLT (1) 2019: 2062-2068 - [c95]Huda Khayrallah, Rebecca Knowles, Kevin Duh, Matt Post:
An Interactive Teaching Tool for Introducing Novices to Machine Translation. SIGCSE 2019: 1276 - [c94]Tom Lippincott, Pamela Shapiro, Kevin Duh, Paul McNamee:
JHU System Description for the MADAR Arabic Dialect Identification Shared Task. WANLP@ACL 2019 2019: 264-268 - [c93]Matt Post, Kevin Duh:
JHU 2019 Robustness Task System Description. WMT (2) 2019: 552-558 - [i29]Sorami Hisamoto, Matt Post, Kevin Duh:
Membership Inference Attacks on Sequence-to-Sequence Models. CoRR abs/1904.05506 (2019) - [i28]Muhammad Mahbubur Rahman, Sorami Hisamoto, Kevin Duh:
Query Expansion for Cross-Language Question Re-Ranking. CoRR abs/1904.07982 (2019) - [i27]Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh:
Curriculum Learning for Domain Adaptation in Neural Machine Translation. CoRR abs/1905.05816 (2019) - [i26]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
AMR Parsing as Sequence-to-Graph Transduction. CoRR abs/1905.08704 (2019) - [i25]Shuoyang Ding, Adithya Renduchintala, Kevin Duh:
A Call for Prudent Choice of Subword Merge Operations. CoRR abs/1905.10453 (2019) - [i24]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
Broad-Coverage Semantic Parsing as Transduction. CoRR abs/1909.02607 (2019) - [i23]Hirofumi Inaguma, Kevin Duh, Tatsuya Kawahara, Shinji Watanabe:
Multilingual End-to-End Speech Translation. CoRR abs/1910.00254 (2019) - [i22]Mitchell A. Gordon, Kevin Duh:
Explaining Sequence-Level Knowledge Distillation as Data-Augmentation for Neural Machine Translation. CoRR abs/1912.03334 (2019) - 2018
- [j16]Shay B. Cohen, Graeme Hirst, Kevin Duh:
Bayesian Analysis in Natural Language Processing Shay Cohen (University of Edinburgh)Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 35), 2016, xxvii+246 pp; paperback, ISBN 9781627058735, $85.00; ebook, ISBN 9781627054218, $68.00; doi: 10.2200/S00719ED1V01Y201605HLT035. Comput. Linguistics 44(1) (2018) - [c92]Xiaodong Liu, Yelong Shen, Kevin Duh, Jianfeng Gao:
Stochastic Answer Networks for Machine Reading Comprehension. ACL (1) 2018: 1694-1704 - [c91]Huda Khayrallah, Brian Thompson, Kevin Duh, Philipp Koehn:
Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine Translation. NMT@ACL 2018: 36-44 - [c90]Sheng Zhang, Xutai Ma, Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Cross-lingual Decompositional Semantic Parsing. EMNLP 2018: 1664-1675 - [c89]Gregory Sell, Kevin Duh, David Snyder, Dave Etter, Daniel Garcia-Romero:
Audio-Visual Person Recognition in Multimedia Data From the Iarpa Janus Program. ICASSP 2018: 3031-3035 - [c88]Hirofumi Inaguma, Xuan Zhang, Zhiqi Wang, Adithya Renduchintala, Shinji Watanabe, Kevin Duh:
The JHU/KyotoU Speech Translation System for IWSLT 2018. IWSLT 2018: 153-159 - [c87]Shota Sasaki, Shuo Sun, Shigehiko Schamoni, Kevin Duh, Kentaro Inui:
Cross-Lingual Learning-to-Rank with Shared Representations. NAACL-HLT (2) 2018: 458-463 - [c86]Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. *SEM@NAACL-HLT 2018: 142-147 - [c85]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds. *SEM@NAACL-HLT 2018: 173-179 - [c84]Brian Thompson, Huda Khayrallah, Antonios Anastasopoulos, Arya D. McCarthy, Kevin Duh, Rebecca Marvin, Paul McNamee, Jeremy Gwinnup, Tim Anderson, Philipp Koehn:
Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation. WMT 2018: 124-132 - [c83]Philipp Koehn, Kevin Duh, Brian Thompson:
The JHU Machine Translation Systems for WMT 2018. WMT (shared task) 2018: 438-444 - [i21]Xiaodong Liu, Kevin Duh, Jianfeng Gao:
Stochastic Answer Networks for Natural Language Inference. CoRR abs/1804.07888 (2018) - [i20]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds. CoRR abs/1804.08000 (2018) - [i19]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Cross-lingual Semantic Parsing. CoRR abs/1804.08037 (2018) - [i18]Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. CoRR abs/1805.08271 (2018) - [i17]Shuoyang Ding, Kevin Duh:
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation? CoRR abs/1806.01515 (2018) - [i16]Pamela Shapiro, Kevin Duh:
BPE and CharCNNs for Translation of Morphology: A Cross-Lingual Comparison and Analysis. CoRR abs/1809.01301 (2018) - [i15]Adithya Renduchintala, Pamela Shapiro, Kevin Duh, Philipp Koehn:
Character-Aware Decoder for Neural Machine Translation. CoRR abs/1809.02223 (2018) - [i14]Brian Thompson, Huda Khayrallah, Antonios Anastasopoulos, Arya McCarthy, Kevin Duh, Rebecca Marvin, Paul McNamee, Jeremy Gwinnup, Tim Anderson, Philipp Koehn:
Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation. CoRR abs/1809.05218 (2018) - [i13]Xiaodong Liu, Wei Li, Yuwei Fang, Aerin Kim, Kevin Duh, Jianfeng Gao:
Stochastic Answer Networks for SQuAD 2.0. CoRR abs/1809.09194 (2018) - [i12]Sheng Zhang, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Kevin Duh, Benjamin Van Durme:
ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension. CoRR abs/1810.12885 (2018) - [i11]Xuan Zhang, Gaurav Kumar, Huda Khayrallah, Kenton Murray, Jeremy Gwinnup, Marianna J. Martindale, Paul McNamee, Kevin Duh, Marine Carpuat:
An Empirical Exploration of Curriculum Learning for Neural Machine Translation. CoRR abs/1811.00739 (2018) - 2017
- [j15]Frances Yung, Kevin Duh, Taku Komura, Yuji Matsumoto:
A Psycholinguistic Model for the Marking of Discourse Relations. Dialogue Discourse 8(1): 106-131 (2017) - [j14]Xiaoyi Wu, Kevin Duh, Yuji Matsumoto:
Generalized Hierarchical Word Sequence Framework for Language Modeling. Inf. Media Technol. 12: 291-315 (2017) - [j13]Sheng Zhang, Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Ordinal Common-sense Inference. Trans. Assoc. Comput. Linguistics 5: 379-395 (2017) - [c82]Keisuke Sakaguchi, Kevin Duh, Matt Post, Benjamin Van Durme:
Robsut Wrod Reocginiton via Semi-Character Recurrent Neural Network. AAAI 2017: 3281-3287 - [c81]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models. EACL (2) 2017: 64-70 - [c80]Benjamin Van Durme, Tom Lippincott, Kevin Duh, Deana Burchfield, Adam Poliak, Cash Costello, Tim Finin, Scott Miller, James Mayfield, Philipp Koehn, Craig Harman, Dawn J. Lawrie, Chandler May, Max Thomas, Annabelle Carrell, Julianne Chaloux, Tongfei Chen, Alex Comerford, Mark Dredze, Benjamin Glass, Shudong Hao, Patrick Martin, Pushpendre Rastogi, Rashmi Sankepally, Travis Wolfe, Ying-Ying Tran, Ted Zhang:
CADET: Computer Assisted Discovery Extraction and Translation. IJCNLP (System Demonstrations) 2017: 5-8 - [c79]Huda Khayrallah, Gaurav Kumar, Kevin Duh, Matt Post, Philipp Koehn:
Neural Lattice Search for Domain Adaptation in Machine Translation. IJCNLP(2) 2017: 20-25 - [c78]Ryan Cotterell, Kevin Duh:
Low-Resource Named Entity Recognition with Cross-lingual, Character-Level Neural Conditional Random Fields. IJCNLP(2) 2017: 91-96 - [c77]Dingquan Wang, Nanyun Peng, Kevin Duh:
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition. IJCNLP(2) 2017: 383-388 - [c76]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Selective Decoding for Cross-lingual Open Information Extraction. IJCNLP(1) 2017: 832-842 - [c75]Yelong Shen, Xiaodong Liu, Kevin Duh, Jianfeng Gao:
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks. IJCNLP(1) 2017: 957-966 - [c74]Aaron Steven White, Pushpendre Rastogi, Kevin Duh, Benjamin Van Durme:
Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework. IJCNLP(1) 2017: 996-1005 - [c73]Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Skip-Prop: Representing Sentences with One Vector Per Proposition. IWCS(2) 2017 - [c72]Hao Qin, Takahiro Shinozaki, Kevin Duh:
Evolution Strategy Based Automatic Tuning of Neural Machine Translation Systems. IWSLT 2017: 120-128 - [c71]Shuoyang Ding, Huda Khayrallah, Philipp Koehn, Matt Post, Gaurav Kumar, Kevin Duh:
The JHU Machine Translation Systems for WMT 2017. WMT 2017: 276-282 - [i10]Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin:
DyNet: The Dynamic Neural Network Toolkit. CoRR abs/1701.03980 (2017) - [i9]Chandler May, Kevin Duh, Benjamin Van Durme, Ashwin Lall:
Streaming Word Embeddings with the Space-Saving Algorithm. CoRR abs/1704.07463 (2017) - [i8]Yelong Shen, Xiaodong Liu, Kevin Duh, Jianfeng Gao:
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks. CoRR abs/1711.03230 (2017) - [i7]Xiaodong Liu, Yelong Shen, Kevin Duh, Jianfeng Gao:
Stochastic Answer Networks for Machine Reading Comprehension. CoRR abs/1712.03556 (2017) - 2016
- [j12]Hiroki Ouchi, Kevin Duh, Hiroyuki Shindo, Yuji Matsumoto:
Transition-Based Dependency Parsing Exploiting Supertags. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 2059-2068 (2016) - [c70]Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto:
Non-Linear Similarity Learning for Compositionality. AAAI 2016: 2828-2834 - [c69]Frances Yung, Kevin Duh, Taku Komura, Yuji Matsumoto:
Modelling the Interpretation of Discourse Connectives by Bayesian Pragmatics. ACL (2) 2016 - [c68]Frances Yung, Kevin Duh, Taku Komura, Yuji Matsumoto:
Modelling the Usage of Discourse Connectives as Rational Speech Acts. CoNLL 2016: 302-313 - [c67]Xiaoyi Wu, Kevin Duh, Yuji Matsumoto:
A Generalized Framework for Hierarchical Word Sequence Language Model. PACLIC 2016 - [c66]Tomohiro Tanaka, Takafumi Moriya, Takahiro Shinozaki, Shinji Watanabe, Takaaki Hori, Kevin Duh:
Automated structure discovery and parameter tuning of neural network language model based on evolution strategy. SLT 2016: 665-671 - [c65]Shuoyang Ding, Kevin Duh, Huda Khayrallah, Philipp Koehn, Matt Post:
The JHU Machine Translation Systems for WMT 2016. WMT 2016: 272-280 - [e3]Jian Su, Xavier Carreras, Kevin Duh:
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, Texas, USA, November 1-4, 2016. The Association for Computational Linguistics 2016, ISBN 978-1-945626-25-8 [contents] - [e2]Deyi Xiong, Kevin Duh, Eneko Agirre, Nora Aranberri, Houfeng Wang:
Proceedings of the 2nd Workshop on Semantics-Driven Machine Translation, SedMT@NAACL-HLT 2016, San Diego, CA, USA, June 16, 2016. Association for Computational Linguistics 2016, ISBN 978-1-941643-97-6 [contents] - [i6]Adhiguna Kuncoro, Yuichiro Sawai, Kevin Duh, Yuji Matsumoto:
Dependency Parsing with LSTMs: An Empirical Evaluation. CoRR abs/1604.06529 (2016) - [i5]Keisuke Sakaguchi, Kevin Duh, Matt Post, Benjamin Van Durme:
Robsut Wrod Reocginiton via semi-Character Recurrent Neural Network. CoRR abs/1608.02214 (2016) - [i4]Sheng Zhang, Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Ordinal Common-sense Inference. CoRR abs/1611.00601 (2016) - 2015
- [j11]Xiaodong Liu, Kevin Duh, Yuji Matsumoto:
Multilingual Topic Models for Bilingual Dictionary Extraction. ACM Trans. Asian Low Resour. Lang. Inf. Process. 14(3): 11:1-11:22 (2015) - [j10]Xiaodong Liu, Fei Cheng, Kevin Duh, Yuji Matsumoto:
A Hybrid Ranking Approach to Chinese Spelling Check. ACM Trans. Asian Low Resour. Lang. Inf. Process. 14(4): 16:1-16:17 (2015) - [c64]Fei Cheng, Kevin Duh, Yuji Matsumoto:
Synthetic Word Parsing Improves Chinese Word Segmentation. ACL (2) 2015: 262-267 - [c63]Hiroki Ouchi, Hiroyuki Shindo, Kevin Duh, Yuji Matsumoto:
Joint Case Argument Identification for Japanese Predicate Argument Structure Analysis. ACL (1) 2015: 961-970 - [c62]Frances Yung, Kevin Duh, Yuji Matsumoto:
Sequential Annotation and Chunking of Chinese Discourse Structure. SIGHAN@IJCNLP 2015: 1-6 - [c61]Takafumi Moriya, Tomohiro Tanaka, Takahiro Shinozaki, Shinji Watanabe, Kevin Duh:
Automation of system building for state-of-the-art large vocabulary speech recognition using evolution strategy. ASRU 2015: 610-616 - [c60]Frances Yung, Kevin Duh, Yuji Matsumoto:
Crosslingual Annotation and Analysis of Implicit Discourse Connectives for Machine Translation. DiscoMT@EMNLP 2015: 142-152 - [c59]Graham Neubig, Philip Arthur, Kevin Duh:
Multi-Target Machine Translation with Multi-Synchronous Context-free Grammars. HLT-NAACL 2015: 293-302 - [c58]Xiaodong Liu, Jianfeng Gao, Xiaodong He, Li Deng, Kevin Duh, Ye-Yi Wang:
Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval. HLT-NAACL 2015: 912-921 - [c57]Xiaoyi Wu, Yuji Matsumoto, Kevin Duh, Hiroyuki Shindo:
An Improved Hierarchical Word Sequence Language Model Using Word Association. SLSP 2015: 275-287 - [c56]Daniel Fried, Kevin Duh:
Incorporating Both Distributional and Relational Semantics in Word Representations. ICLR (Workshop) 2015 - [i3]Kaisheng Yao, Trevor Cohn, Katerina Vylomova, Kevin Duh, Chris Dyer:
Depth-Gated LSTM. CoRR abs/1508.03790 (2015) - 2014
- [j9]Akisato Kimura, Kevin Duh, Tsutomu Hirao, Katsuhiko Ishiguro, Tomoharu Iwata, Albert Au Yeung:
Creating Stories from Socially Curated Microblog Messages. IEICE Trans. Inf. Syst. 97-D(6): 1557-1566 (2014) - [c55]Graham Neubig, Kevin Duh:
On the Elements of an Accurate Tree-to-String Machine Translation System. ACL (2) 2014: 143-149 - [c54]Hiroki Ouchi, Kevin Duh, Yuji Matsumoto:
Improving Dependency Parsers with Supertags. EACL 2014: 154-158 - [c53]Frances Yung, Kevin Duh, Yuji Matsumoto:
Analysis and Prediction of Unalignable Words in Parallel Text. EACL 2014: 190-194 - [c52]Graham Neubig, Katsuhito Sudoh, Yusuke Oda, Kevin Duh, Hajime Tsukada, Masaaki Nagata:
The NAIST-NTT TED talk treebank. IWSLT 2014 - [c51]Katsuhito Sudoh, Graham Neubig, Kevin Duh, Katsuhiko Hayashi:
NTT-NAIST syntax-based SMT systems for IWSLT 2014. IWSLT (Evaluation Campaign) 2014 - [c50]Adam Jatowt, Kevin Duh:
A framework for analyzing semantic change of words across time. JCDL 2014: 229-238 - [c49]Fei Cheng, Kevin Duh, Yuji Matsumoto:
Parsing Chinese Synthetic Words with a Character-based Dependency Model. LREC 2014: 67-72 - [c48]Lis Pereira, Elga Strafella, Kevin Duh, Yuji Matsumoto:
Identifying collocations using cross-lingual association measures. MWE@EACL 2014: 109-113 - [e1]Kevin Duh, Helena Gómez-Adorno, Steven Bethard:
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL 2024, Mexico City, Mexico, June 16-21, 2024. Association for Computational Linguistics 2014, ISBN 979-8-89176-114-8 [contents] - [i2]Daniel Fried, Kevin Duh:
Incorporating Both Distributional and Relational Semantics in Word Representations. CoRR abs/1412.4369 (2014) - 2013
- [j8]Katsuhito Sudoh, Xianchao Wu, Kevin Duh, Hajime Tsukada, Masaaki Nagata:
Syntax-Based Post-Ordering for Efficient Japanese-to-English Translation. ACM Trans. Asian Lang. Inf. Process. 12(3): 12:1-12:15 (2013) - [j7]Kevin Duh, Ching-man Au Yeung, Tomoharu Iwata, Masaaki Nagata:
Managing information disparity in multilingual document collections. ACM Trans. Speech Lang. Process. 10(1): 1:1-1:28 (2013) - [c47]Graham Neubig, Kevin Duh:
How Much Is Said in a Tweet? A Multilingual, Information-theoretic Perspective. AAAI Spring Symposium: Analyzing Microtext 2013 - [c46]Kevin Duh, Graham Neubig, Katsuhito Sudoh, Hajime Tsukada:
Adaptation Data Selection using Neural Language Models: Experiments in Machine Translation. ACL (2) 2013: 678-683 - [c45]Xiaodong Liu, Kevin Cheng, Yanyan Luo, Kevin Duh, Yuji Matsumoto:
A Hybrid Chinese Spelling Correction Using Language Model and Statistical Machine Translation with Reranking. SIGHAN@IJCNLP 2013: 54-58 - [c44]Xiaodong Liu, Kevin Duh, Yuji Matsumoto:
Topic Models + Word Alignment = A Flexible Framework for Extracting Bilingual Dictionary from Comparable Corpus. CoNLL 2013: 212-221 - [c43]Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto:
Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks. EMNLP 2013: 130-140 - [c42]Yanyan Luo, Kevin Duh, Yuji Matsumoto:
What Information is Helpful for Dependency Based Semantic Role Labeling. IJCNLP 2013: 781-787 - [c41]Katsuhito Sudoh, Graham Neubig, Kevin Duh, Hajime Tsukada:
NTT-NAIST SMT systems for IWSLT 2013. IWSLT (Evaluation Campaign) 2013 - [c40]Baskaran Sankaran, Anoop Sarkar, Kevin Duh:
Multi-Metric Optimization Using Ensemble Tuning. HLT-NAACL 2013: 947-957 - [c39]Shuhei Kondo, Kevin Duh, Yuji Matsumoto:
Hidden Markov Tree Model for Word Alignment. WMT@ACL 2013: 503-511 - [i1]Hal Daumé III, Kevin Duh, Samir Khuller:
Discrete Algorithms Meet Machine Learning (NII Shonan Meeting 2013-6). NII Shonan Meet. Rep. 2013 (2013) - 2012
- [j6]Kevin Duh, Akinori Fujino:
Flexible sample selection strategies for transfer learning in ranking. Inf. Process. Manag. 48(3): 502-512 (2012) - [j5]Hideki Isozaki, Katsuhito Sudoh, Hajime Tsukada, Kevin Duh:
HPSG-Based Preprocessing for English-to-Japanese Translation. ACM Trans. Asian Lang. Inf. Process. 11(3): 8:1-8:16 (2012) - [c38]Kevin Duh, Katsuhito Sudoh, Xianchao Wu, Hajime Tsukada, Masaaki Nagata:
Learning to Translate with Multiple Objectives. ACL (1) 2012: 1-10 - [c37]Xianchao Wu, Katsuhito Sudoh, Kevin Duh, Hajime Tsukada, Masaaki Nagata:
A Comparative Study of Target Dependency Structures for Statistical Machine Translation. ACL (2) 2012: 100-104 - [c36]Kevin Duh, Tsutomu Hirao, Akisato Kimura, Katsuhiko Ishiguro, Tomoharu Iwata, Ching-man Au Yeung:
Creating Stories: Social Curation of Twitter Messages. ICWSM 2012 - [c35]Graham Neubig, Kevin Duh, Masaya Ogushi, Takatomo Kano, Tetsuo Kiso, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
The NAIST machine translation system for IWSLT2012. IWSLT 2012: 54-60 - [c34]Tomoharu Iwata, Kevin Duh:
Bidirectional Semi-supervised Learning with Graphs. ECML/PKDD (2) 2012: 293-306 - [c33]Dan Han, Katsuhito Sudoh, Xianchao Wu, Kevin Duh, Hajime Tsukada, Masaaki Nagata:
Head Finalization Reordering for Chinese-to-Japanese Machine Translation. SSST@ACL 2012: 57-66 - 2011
- [j4]Kevin Duh, Katrin Kirchhoff:
Semi-supervised ranking for document retrieval. Comput. Speech Lang. 25(2): 261-281 (2011) - [j3]Sumit Basu, John Dunagan, Kevin Duh, Kiran-Kumar Muniswamy-Reddy:
BLR-D: applying bilinear logistic regression to factored diagnosis problems. ACM SIGOPS Oper. Syst. Rev. 45(3): 31-38 (2011) - [j2]Ching-man Au Yeung, Kevin Duh, Masaaki Nagata:
Assisting cross-lingual editing in collaborative writing. SIGWEB Newsl. 2011(Spring): 4:1-4:5 (2011) - [c32]Kevin Duh, Akinori Fujino, Masaaki Nagata:
Is Machine Translation Ripe for Cross-Lingual Sentiment Classification? ACL (2) 2011: 429-433 - [c31]Ching-man Au Yeung, Kevin Duh, Masaaki Nagata:
Providing Cross-Lingual Editing Assistance to Wikipedia Editors. CICLing (2) 2011: 377-389 - [c30]Xianchao Wu, Katsuhito Sudoh, Kevin Duh, Hajime Tsukada, Masaaki Nagata:
Extracting Pre-ordering Rules from Predicate-Argument Structures. IJCNLP 2011: 29-37 - [c29]Jun Suzuki, Kevin Duh, Masaaki Nagata:
Distributed Minimum Error Rate Training of SMT using Particle Swarm Optimization. IJCNLP 2011: 649-657 - [c28]Kevin Duh, Katsuhito Sudoh, Xianchao Wu, Hajime Tsukada, Masaaki Nagata:
Generalized Minimum Bayes Risk System Combination. IJCNLP 2011: 1356-1360 - [c27]Kevin Duh, Katsuhito Sudoh, Tomoharu Iwata, Hajime Tsukada:
Alignment Inference and Bayesian Adaptation for Machine Translation. MTSummit 2011 - [c26]Katsuhito Sudoh, Xianchao Wu, Kevin Duh, Hajime Tsukada, Masaaki Nagata:
Post-ordering in Statistical Machine Translation. MTSummit 2011 - [c25]Xianchao Wu, Katsuhito Sudoh, Kevin Duh, Hajime Tsukada, Masaaki Nagata:
Extracting Pre-ordering Rules from Chunk-based Dependency Trees for Japanese-to-English Translation. MTSummit 2011 - [c24]Shuhei Kondo, Mamoru Komachi, Yuji Matsumoto, Katsuhito Sudoh, Kevin Duh, Hajime Tsukada:
Learning of Linear Ordering Problems and its Application to J-E Patent Translation in NTCIR-9 PatentMT. NTCIR 2011 - [c23]Katsuhito Sudoh, Kevin Duh, Hajime Tsukada, Masaaki Nagata, Xianchao Wu, Takuya Matsuzaki, Jun'ichi Tsujii:
NTT-UT Statistical Machine Translation in NTCIR-9 PatentMT. NTCIR 2011 - 2010
- [c22]Katsuhiko Hayashi, Hajime Tsukada, Katsuhito Sudoh, Kevin Duh, Seiichi Yamamoto:
Hierarchical Phrase-based Machine Translation with Word-based Reordering Model. COLING 2010: 439-446 - [c21]Hideki Isozaki, Tsutomu Hirao, Kevin Duh, Katsuhito Sudoh, Hajime Tsukada:
Automatic Evaluation of Translation Quality for Distant Language Pairs. EMNLP 2010: 944-952 - [c20]Katsuhito Sudoh, Kevin Duh, Hajime Tsukada:
NTT statistical machine translation system for IWSLT 2010. IWSLT 2010: 147-152 - [c19]Kevin Duh, Katsuhito Sudoh, Hajime Tsukada:
Analysis of translation model adaptation in statistical machine translation. IWSLT 2010: 243-250 - [c18]Sanae Fujita, Kevin Duh, Akinori Fujino, Hirotoshi Taira, Hiroyuki Shindo:
MSS: Investigating the Effectiveness of Domain Combinations and Topic Features for Word Sense Disambiguation. SemEval@ACL 2010: 383-386 - [c17]Hideki Isozaki, Katsuhito Sudoh, Hajime Tsukada, Kevin Duh:
Head Finalization: A Simple Reordering Rule for SOV Languages. WMT@ACL 2010: 244-251 - [c16]Kevin Duh, Katsuhito Sudoh, Hajime Tsukada, Hideki Isozaki, Masaaki Nagata:
N-Best Reranking by Multitask Learning. WMT@ACL 2010: 375-383 - [c15]Katsuhito Sudoh, Kevin Duh, Hajime Tsukada, Tsutomu Hirao, Masaaki Nagata:
Divide and Translate: Improving Long Distance Reordering in Statistical Machine Translation. WMT@ACL 2010: 418-427
2000 – 2009
- 2009
- [c14]Mei Yang, Amittai Axelrod, Kevin Duh, Katrin Kirchhoff:
The University of Washington machine translation system for IWSLT 2009. IWSLT 2009: 124-128 - [c13]Mei Yang, Amittai Axelrod, Kevin Duh, Katrin Kirchhoff:
The University of Washington machine translation system for IWSLT 2009. IWSLT (Evaluation Campaign) 2009 - 2008
- [c12]Kevin Duh, Katrin Kirchhoff:
Beyond Log-Linear Models: Boosted Minimum Error Rate Training for N-best Re-ranking. ACL (2) 2008: 37-40 - [c11]Kevin Duh, Katrin Kirchhoff:
Learning to rank with partially-labeled data. SIGIR 2008: 251-258 - [c10]Amittai Axelrod, Mei Yang, Kevin Duh, Katrin Kirchhoff:
The University of Washington Machine Translation System for ACL WMT 2008. WMT@ACL 2008: 123-126 - [c9]Kevin Duh:
Ranking vs. Regression in Machine Translation Evaluation. WMT@ACL 2008: 191-194 - 2006
- [j1]Katrin Kirchhoff, Dimitra Vergyri, Jeff A. Bilmes, Kevin Duh, Andreas Stolcke:
Morphology-based language modeling for conversational Arabic speech recognition. Comput. Speech Lang. 20(4): 589-608 (2006) - [c8]Kevin Duh, Katrin Kirchhoff:
Lexicon Acquisition for Dialectal Arabic Using Transductive Learning. EMNLP 2006: 399-407 - [c7]Katrin Kirchhoff, Kevin Duh, Chris Lim:
The University of Washington machine translation system for IWSLT 2006. IWSLT 2006: 145-162 - [c6]Simon Corston-Oliver, Anthony Aue, Kevin Duh, Eric K. Ringger:
Multilingual Dependency Parsing using Bayes Point Machines. HLT-NAACL 2006 - 2005
- [c5]Kevin Duh:
Jointly Labeling Multiple Sequences: A Factorial HMM Approach. ACL 2005: 19-24 - [c4]Kevin Duh, Katrin Kirchhoff:
POS Tagging of Dialectal Arabic: A Minimally Supervised Approach. SEMITIC@ACL 2005: 55-62 - [c3]Chris D. Bartels, Kevin Duh, Jeff A. Bilmes, Katrin Kirchhoff, Simon King:
Genetic triangulation of graphical models for speech and language processing. INTERSPEECH 2005: 3329-3332 - 2004
- [c2]Kevin Duh, Katrin Kirchhoff:
Automatic Learning of Language Model Structure. COLING 2004 - [c1]Dimitra Vergyri, Katrin Kirchhoff, Kevin Duh, Andreas Stolcke:
Morphology-based language modeling for arabic speech recognition. INTERSPEECH 2004: 2245-2248
Coauthor Index
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