Philipp Koehn

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 164

Top Venues

CoRR

WMT

WMT@EMNLP

EMNLP

Publications

Taiming Lu, Philipp Koehn
Every Language Counts: Learn and Unlearn in Multilingual LLMs. CoRR (2024)
Patrick Foley, Matthew Wiesner, Bismarck Odoom, Leibny Paola García-Perera, Kenton Murray, Philipp Koehn
Where are you from? Geolocating Speech and Applications to Language Identification. NAACL-HLT (2024)
Weiting Tan, Yunmo Chen, Tongfei Chen, Guanghui Qin, Haoran Xu, Heidi C. Zhang, Benjamin Van Durme, Philipp Koehn
Streaming Sequence Transduction through Dynamic Compression. CoRR (2024)
Weiting Tan, Jingyu Zhang, Lingfeng Shen, Daniel Khashabi, Philipp Koehn
DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation. CoRR (2024)
Lingfeng Shen, Weiting Tan, Sihao Chen, Yunmo Chen, Jingyu Zhang, Haoran Xu, Boyuan Zheng, Philipp Koehn, Daniel Khashabi
The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts. ACL (Findings) (2024)
Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, Ondrej Bojar, Anton Dvorkovich, Christian Federmann, Mark Fishel, Markus Freitag, Thamme Gowda, Roman Grundkiewicz, Barry Haddow, Marzena Karpinska, Philipp Koehn, Benjamin Marie, Kenton Murray, Masaaki Nagata, Martin Popel, Maja Popovic, Mariya Shmatova, Steinþór Steingrímsson, Vilém Zouhar
Preliminary WMT24 Ranking of General MT Systems and LLMs. CoRR (2024)
Tianjian Li, Haoran Xu, Philipp Koehn, Daniel Khashabi, Kenton Murray
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models. ICLR (2024)
Lingfeng Shen, Weiting Tan, Sihao Chen, Yunmo Chen, Jingyu Zhang, Haoran Xu, Boyuan Zheng, Philipp Koehn, Daniel Khashabi
The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts. CoRR (2024)
John F. Wu, Alina Hyk, Kiera McCormick, Christine Ye, Simone Astarita, Elina Baral, Jo Ciuca, Jesse Cranney, Anjalie Field, Kartheik Iyer, Philipp Koehn, Jenn Kotler, Sandor Kruk, Michelle Ntampaka, Charles O'Neill, Joshua E. G. Peek, Sanjib Sharma, Mikaeel Yunus
Designing an Evaluation Framework for Large Language Models in Astronomy Research. CoRR (2024)
Niyati Bafna, Philipp Koehn, David Yarowsky
Pointer-Generator Networks for Low-Resource Machine Translation: Don't Copy That! CoRR (2024)
Rachel Wicks, Matt Post, Philipp Koehn
Recovering document annotations for sentence-level bitext. CoRR (2024)
Rachel Wicks, Matt Post, Philipp Koehn
Recovering document annotations for sentence-level bitext. ACL (Findings) (2024)
Haoran Xu, Weiting Tan, Shuyue Stella Li, Yunmo Chen, Benjamin Van Durme, Philipp Koehn, Kenton Murray
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules. EMNLP (2023)
Lemao Liu, Francisco Casacuberta, George Foster, Guoping Huang, Philipp Koehn, Geza Kovacs, Shuming Shi, Taro Watanabe, Chengqing Zong
Findings of the Word-Level AutoCompletion Shared Task in WMT 2023. WMT (2023)
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)
Longyue Wang, Zhaopeng Tu, Yan Gu, Siyou Liu, Dian Yu, Qingsong Ma, Chenyang Lyu, Liting Zhou, Chao-Hong Liu, Yufeng Ma, Weiyu Chen, Yvette Graham, Bonnie Webber, Philipp Koehn, Andy Way, Yulin Yuan, Shuming Shi
Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs. WMT (2023)
Jean Maillard, Cynthia Gao, Elahe Kalbassi, Kaushik Ram Sadagopan, Vedanuj Goswami, Philipp Koehn, Angela Fan, Francisco Guzmán
Small Data, Big Impact: Leveraging Minimal Data for Effective Machine Translation. ACL (1) (2023)
Haoran Xu, Weiting Tan, Shuyue Stella Li, Yunmo Chen, Benjamin Van Durme, Philipp Koehn, Kenton Murray
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules. CoRR (2023)
Steve Sloto, Brian Thompson, Huda Khayrallah, Tobias Domhan, Thamme Gowda, Philipp Koehn
Findings of the WMT 2023 Shared Task on Parallel Data Curation. WMT (2023)
Tianjian Li, Haoran Xu, Philipp Koehn, Daniel Khashabi, Kenton Murray
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models. CoRR (2023)
Elizabeth Salesky, Neha Verma, Philipp Koehn, Matt Post
Multilingual Pixel Representations for Translation and Effective Cross-lingual Transfer. EMNLP (2023)
Weiting Tan, Haoran Xu, Lingfeng Shen, Shuyue Stella Li, Kenton Murray, Philipp Koehn, Benjamin Van Durme, Yunmo Chen
Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles. CoRR (2023)
Weiting Tan, Kevin Heffernan, Holger Schwenk, Philipp Koehn
Multilingual Representation Distillation with Contrastive Learning. EACL (2023)
Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, Ondrej Bojar, Anton Dvorkovich, Christian Federmann, Mark Fishel, Markus Freitag, Thamme Gowda, Roman Grundkiewicz, Barry Haddow, Philipp Koehn, Benjamin Marie, Christof Monz, Makoto Morishita, Kenton Murray, Makoto Nagata, Toshiaki Nakazawa, Martin Popel, Maja Popovic, Mariya Shmatova
Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet. WMT (2023)
Elizabeth Salesky, Neha Verma, Philipp Koehn, Matt Post
Pixel Representations for Multilingual Translation and Data-efficient Cross-lingual Transfer. CoRR (2023)
Longyue Wang, Zhaopeng Tu, Yan Gu, Siyou Liu, Dian Yu, Qingsong Ma, Chenyang Lyu, Liting Zhou, Chao-Hong Liu, Yufeng Ma, Weiyu Chen, Yvette Graham, Bonnie Webber, Philipp Koehn, Andy Way, Yulin Yuan, Shuming Shi
Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs. CoRR (2023)
Yukun Feng, Feng Li, Ziang Song, Boyuan Zheng, Philipp Koehn
Learn To Remember: Transformer with Recurrent Memory for Document-Level Machine Translation. NAACL-HLT (Findings) (2022)
Weiting Tan, Shuoyang Ding, Huda Khayrallah, Philipp Koehn
Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation. AMTA (2022)
Weiting Tan, Kevin Heffernan, Holger Schwenk, Philipp Koehn
Multilingual Representation Distillation with Contrastive Learning. CoRR (2022)
Yukun Feng, Feng Li, Ziang Song, Boyuan Zheng, Philipp Koehn
Learn To Remember: Transformer with Recurrent Memory for Document-Level Machine Translation. CoRR (2022)
Xuan-Phi Nguyen, Hongyu Gong, Yun Tang, Changhan Wang, Philipp Koehn, Shafiq R. Joty
Contrastive Clustering to Mine Pseudo Parallel Data for Unsupervised Translation. ICLR (2022)
Marta R. Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, Anna Sun, Skyler Wang, Guillaume Wenzek, Al Youngblood, Bapi Akula, Loïc Barrault, Gabriel Mejia Gonzalez, Prangthip Hansanti, John Hoffman, Semarley Jarrett, Kaushik Ram Sadagopan, Dirk Rowe, Shannon Spruit, Chau Tran, Pierre Andrews, Necip Fazil Ayan, Shruti Bhosale, Sergey Edunov, Angela Fan, Cynthia Gao, Vedanuj Goswami, Francisco Guzmán, Philipp Koehn, Alexandre Mourachko, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, Jeff Wang
No Language Left Behind: Scaling Human-Centered Machine Translation. CoRR (2022)
Kelly Marchisio, Neha Verma, Kevin Duh, Philipp Koehn
IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces. EMNLP (2022)
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)
Kelly Marchisio, Conghao Xiong, Philipp Koehn
Embedding-Enhanced GIZA++: Improving Low-Resource Word Alignment Using Embeddings. AMTA (2022)
Haoran Xu, Philipp Koehn, Kenton Murray
The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains. EMNLP (2022)
Tasnim Mohiuddin, Philipp Koehn, Vishrav Chaudhary, James Cross, Shruti Bhosale, Shafiq R. Joty
Data Selection Curriculum for Neural Machine Translation. EMNLP (Findings) (2022)
Tom Kocmi, Rachel Bawden, Ondrej Bojar, Anton Dvorkovich, Christian Federmann, Mark Fishel, Thamme Gowda, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Rebecca Knowles, Philipp Koehn, Christof Monz, Makoto Morishita, Masaaki Nagata, Toshiaki Nakazawa, Michal Novák, Martin Popel, Maja Popovic
Findings of the 2022 Conference on Machine Translation (WMT22). WMT (2022)
Weiting Tan, Philipp Koehn
Bitext Mining for Low-Resource Languages via Contrastive Learning. CoRR (2022)
Tasnim Mohiuddin, Philipp Koehn, Vishrav Chaudhary, James Cross, Shruti Bhosale, Shafiq R. Joty
Data Selection Curriculum for Neural Machine Translation. CoRR (2022)
Yukun Feng, Feng Li, Philipp Koehn
Toward the Limitation of Code-Switching in Cross-Lingual Transfer. EMNLP (2022)
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 (2022)
Simeng Sun, Angela Fan, James Cross, Vishrav Chaudhary, Chau Tran, Philipp Koehn, Francisco Guzmán
Alternative Input Signals Ease Transfer in Multilingual Machine Translation. ACL (1) (2022)
Daniel Licht, Cynthia Gao, Janice Lam, Francisco Guzmán, Mona T. Diab, Philipp Koehn
Consistent Human Evaluation of Machine Translation across Language Pairs. AMTA (2022)
Daniel Licht, Cynthia Gao, Janice Lam, Francisco Guzmán, Mona T. Diab, Philipp Koehn
Consistent Human Evaluation of Machine Translation across Language Pairs. CoRR (2022)
Haoran Xu, Philipp Koehn, Kenton Murray
The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains. CoRR (2022)
Kelly Marchisio, Neha Verma, Kevin Duh, Philipp Koehn
IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces. CoRR (2022)
Francisco Casacuberta, George Foster, Guoping Huang, Philipp Koehn, Geza Kovacs, Lemao Liu, Shuming Shi, Taro Watanabe, Chengqing Zong
Findings of the Word-Level AutoCompletion Shared Task in WMT 2022. WMT (2022)
Ahmed El-Kishky, Adithya Renduchintala, James Cross, Francisco Guzmán, Philipp Koehn
XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment. EMNLP (1) (2021)
Ahmed El-Kishky, Adi Renduchintala, James Cross, Francisco Guzmán, Philipp Koehn
XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment. CoRR (2021)
Haoran Xu, Philipp Koehn
Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation. CoRR (2021)
Md Mahfuz Ibn Alam, Antonios Anastasopoulos, Laurent Besacier, James Cross, Matthias Gallé, Philipp Koehn, Vassilina Nikoulina
On the Evaluation of Machine Translation for Terminology Consistency. CoRR (2021)
Kelly Marchisio, Philipp Koehn, Conghao Xiong
An Alignment-Based Approach to Semi-Supervised Bilingual Lexicon Induction with Small Parallel Corpora. MTSummit (1) (2021)
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 (2021)
Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, Ondrej Bojar, Rajen Chatterjee, Vishrav Chaudhary, Marta R. Costa-jussà, Cristina España-Bonet, Angela Fan, Christian Federmann, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Leonie Harter, Kenneth Heafield, Christopher Homan, Matthias Huck, Kwabena Amponsah-Kaakyire, Jungo Kasai, Daniel Khashabi, Kevin Knight, Tom Kocmi, Philipp Koehn, Nicholas Lourie, Christof Monz, Makoto Morishita, Masaaki Nagata, Ajay Nagesh, Toshiaki Nakazawa, Matteo Negri, Santanu Pal, Allahsera Auguste Tapo, Marco Turchi, Valentin Vydrin, Marcos Zampieri
Findings of the 2021 Conference on Machine Translation (WMT21). WMT@EMNLP (2021)
Gaurav Kumar, Philipp Koehn, Sanjeev Khudanpur
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora. WMT@EMNLP (2021)
Gaurav Kumar, Philipp Koehn, Sanjeev Khudanpur
Learning Curricula for Multilingual Neural Machine Translation Training. MTSummit (1) (2021)
Xutai Ma, Yongqiang Wang, Mohammad Javad Dousti, Philipp Koehn, Juan Miguel Pino
Streaming Simultaneous Speech Translation with Augmented Memory Transformer. ICASSP (2021)
Chau Tran, Shruti Bhosale, James Cross, Philipp Koehn, Sergey Edunov, Angela Fan
Facebook AI WMT21 News Translation Task Submission. CoRR (2021)
Simeng Sun, Angela Fan, James Cross, Vishrav Chaudhary, Chau Tran, Philipp Koehn, Francisco Guzmán
Alternative Input Signals Ease Transfer in Multilingual Machine Translation. CoRR (2021)
Shuoyang Ding, Philipp Koehn
Evaluating Saliency Methods for Neural Language Models. NAACL-HLT (2021)
Kelly Marchisio, Conghao Xiong, Philipp Koehn
Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space Geometry. CoRR (2021)
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)
Shuoyang Ding, Marcin Junczys-Dowmunt, Matt Post, Christian Federmann, Philipp Koehn
The JHU-Microsoft Submission for WMT21 Quality Estimation Shared Task. CoRR (2021)
Weiting Tan, Shuoyang Ding, Huda Khayrallah, Philipp Koehn
Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation. CoRR (2021)
Gaurav Kumar, Philipp Koehn, Sanjeev Khudanpur
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora. CoRR (2021)
Shuoyang Ding, Marcin Junczys-Dowmunt, Matt Post, Christian Federmann, Philipp Koehn
The JHU-Microsoft Submission for WMT21 Quality Estimation Shared Task. WMT@EMNLP (2021)
Wei-Jen Ko, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Naman Goyal, Francisco Guzmán, Pascale Fung, Philipp Koehn, Mona T. Diab
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data. ACL/IJCNLP (1) (2021)
Gaurav Kumar, Philipp Koehn, Sanjeev Khudanpur
Learning Policies for Multilingual Training of Neural Machine Translation Systems. CoRR (2021)
Shuoyang Ding, Philipp Koehn
Evaluating Saliency Methods for Neural Language Models. CoRR (2021)
Wei-Jen Ko, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Naman Goyal, Francisco Guzmán, Pascale Fung, Philipp Koehn, Mona T. Diab
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data. CoRR (2021)
Shuoyang Ding, Marcin Junczys-Dowmunt, Matt Post, Philipp Koehn
Levenshtein Training for Word-level Quality Estimation. EMNLP (1) (2021)
Shuoyang Ding, Marcin Junczys-Dowmunt, Matt Post, Philipp Koehn
Levenshtein Training for Word-level Quality Estimation. CoRR (2021)
Md Mahfuz Ibn Alam, Ivana Kvapilíková, Antonios Anastasopoulos, Laurent Besacier, Georgiana Dinu, Marcello Federico, Matthias Gallé, Kweon Woo Jung, Philipp Koehn, Vassilina Nikoulina
Findings of the WMT Shared Task on Machine Translation Using Terminologies. WMT@EMNLP (2021)
Haoran Xu, Philipp Koehn
Cross-Lingual BERT Contextual Embedding Space Mapping with Isotropic and Isometric Conditions. CoRR (2021)
Chau Tran, Shruti Bhosale, James Cross, Philipp Koehn, Sergey Edunov, Angela Fan
Facebook AI's WMT21 News Translation Task Submission. WMT@EMNLP (2021)
Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federmann, Dmitriy Genzel, Francisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, William Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang, Sylwia Tur
TICO-19: the Translation Initiative for Covid-19. CoRR (2020)
Xutai Ma, Juan Miguel Pino, Philipp Koehn
SimulMT to SimulST: Adapting Simultaneous Text Translation to End-to-End Simultaneous Speech Translation. CoRR (2020)
Yvette Graham, Barry Haddow, Philipp Koehn
Statistical Power and Translationese in Machine Translation Evaluation. EMNLP (1) (2020)
Denise Díaz, James Cross, Vishrav Chaudhary, Ahmed El-Kishky, Philipp Koehn
A Survey of Qualitative Error Analysis for Neural Machine Translation Systems. AMTA (2) (2020)
Marta Bañón, Pinzhen Chen, Barry Haddow, Kenneth Heafield, Hieu Hoang, Miquel Esplà-Gomis, Mikel L. Forcada, Amir Kamran, Faheem Kirefu, Philipp Koehn, Sergio Ortiz-Rojas, Leopoldo Pla Sempere, Gema Ramírez-Sánchez, Elsa Sarrías, Marek Strelec, Brian Thompson, William Waites, Dion Wiggins, Jaume Zaragoza
ParaCrawl: Web-Scale Acquisition of Parallel Corpora. ACL (2020)
Kelly Marchisio, Kevin Duh, Philipp Koehn
When Does Unsupervised Machine Translation Work? WMT@EMNLP (2020)
Ahmed El-Kishky, Vishrav Chaudhary, Francisco Guzmán, Philipp Koehn
CCAligned: A Massive Collection of Cross-Lingual Web-Document Pairs. EMNLP (1) (2020)
Felicia Koerner, Philipp Koehn
Dual Conditional Cross Entropy Scores and LASER Similarity Scores for the WMT20 Parallel Corpus Filtering Shared Task. WMT@EMNLP (2020)
Brian Thompson, Philipp Koehn
Exploiting Sentence Order in Document Alignment. EMNLP (1) (2020)
Kelly Marchisio, Kevin Duh, Philipp Koehn
When Does Unsupervised Machine Translation Work? CoRR (2020)
Ahmed El-Kishky, Philipp Koehn, Holger Schwenk
Searching the Web for Cross-lingual Parallel Data. SIGIR (2020)
Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federmann, Dmitriy Genzel, Francisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, William Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang, Sylwia Tur
TICO-19: the Translation Initiative for COvid-19. NLP4COVID@EMNLP (2020)
Philipp Koehn, Barry Haddow
Interpolated Backoff for Factored Translation Models. AMTA (2020)
Xutai Ma, Yongqiang Wang, Mohammad Javad Dousti, Philipp Koehn, Juan Miguel Pino
Streaming Simultaneous Speech Translation with Augmented Memory Transformer. CoRR (2020)
Philipp Koehn, Vishrav Chaudhary, Ahmed El-Kishky, Naman Goyal, Peng-Jen Chen, Francisco Guzmán
Findings of the WMT 2020 Shared Task on Parallel Corpus Filtering and Alignment. WMT@EMNLP (2020)
Brian Thompson, Philipp Koehn
Exploiting Sentence Order in Document Alignment. CoRR (2020)
Lucia Specia, Zhenhao Li, Juan Miguel Pino, Vishrav Chaudhary, Francisco Guzmán, Graham Neubig, Nadir Durrani, Yonatan Belinkov, Philipp Koehn, Hassan Sajjad, Paul Michel, Xian Li
Findings of the WMT 2020 Shared Task on Machine Translation Robustness. WMT@EMNLP (2020)
Huda Khayrallah, Brian Thompson, Matt Post, Philipp Koehn
Simulated multiple reference training improves low-resource machine translation. EMNLP (1) (2020)
Loïc Barrault, Magdalena Biesialska, Ondrej Bojar, Marta R. Costa-jussà, Christian Federmann, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Matthias Huck, Eric Joanis, Tom Kocmi, Philipp Koehn, Chi-kiu Lo, Nikola Ljubesic, Christof Monz, Makoto Morishita, Masaaki Nagata, Toshiaki Nakazawa, Santanu Pal, Matt Post, Marcos Zampieri
Findings of the 2020 Conference on Machine Translation (WMT20). WMT@EMNLP (2020)
Huda Khayrallah, Brian Thompson, Matt Post, Philipp Koehn
Simulated Multiple Reference Training Improves Low-Resource Machine Translation. CoRR (2020)
Xutai Ma, Juan Miguel Pino, Philipp Koehn
SimulMT to SimulST: Adapting Simultaneous Text Translation to End-to-End Simultaneous Speech Translation. AACL/IJCNLP (2020)
Ankur Kejriwal, Philipp Koehn
An exploratory approach to the Parallel Corpus Filtering shared task WMT20. WMT@EMNLP (2020)
Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Miguel Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato
Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English. CoRR (2019)
Xian Li, Paul Michel, Antonios Anastasopoulos, Yonatan Belinkov, Nadir Durrani, Orhan Firat, Philipp Koehn, Graham Neubig, Juan Miguel Pino, Hassan Sajjad
Findings of the First Shared Task on Machine Translation Robustness. CoRR (2019)

Philipp Koehn.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Philipp Koehn