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2020 – today
- 2024
[c16]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, Christof Monz, Kenton Murray, Masaaki Nagata, Martin Popel, Maja Popovic, Mariya Shmatova, Steinthór Steingrímsson, Vilém Zouhar:
Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet. WMT 2024: 1-46- [i10]Hyundong Cho, Thamme Gowda, Yuyang Huang, Zixun Lu, Tianli Tong, Jonathan May:
BotEval: Facilitating Interactive Human Evaluation. CoRR abs/2407.17770 (2024) - [i9]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 abs/2407.19884 (2024) - [i8]Thamme Gowda, Roman Grundkiewicz, Elijah Rippeth, Matt Post, Marcin Junczys-Dowmunt:
PyMarian: Fast Neural Machine Translation and Evaluation in Python. CoRR abs/2408.11853 (2024) - 2023
- [c15]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: 1-42 - [c14]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: 95-102 - [c13]Thamme Gowda, Tom Kocmi, Marcin Junczys-Dowmunt:
Cometoid: Distilling Strong Reference-based Machine Translation Metrics into Even Stronger Quality Estimation Metrics. WMT 2023: 751-755 - [i7]Matt Post, Thamme Gowda, Roman Grundkiewicz, Huda Khayrallah, Rohit Jain, Marcin Junczys-Dowmunt:
SOTASTREAM: A Streaming Approach to Machine Translation Training. CoRR abs/2308.07489 (2023) - 2022
- [c12]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: 1-45 - [i6]Thamme Gowda, Mozhdeh Gheini, Jonathan May
:
Checks and Strategies for Enabling Code-Switched Machine Translation. CoRR abs/2210.05096 (2022) - 2021
- [c11]Thamme Gowda, Zhao Zhang, Chris Mattmann, Jonathan May:
Many-to-English Machine Translation Tools, Data, and Pretrained Models. ACL (demo) 2021: 306-316 - [c10]Thamme Gowda, Weiqiu You, Constantine Lignos, Jonathan May:
Macro-Average: Rare Types Are Important Too. NAACL-HLT 2021: 1138-1157 - [i5]Thamme Gowda, Zhao Zhang, Chris A. Mattmann, Jonathan May:
Many-to-English Machine Translation Tools, Data, and Pretrained Models. CoRR abs/2104.00290 (2021) - [i4]Thamme Gowda, Weiqiu You, Constantine Lignos, Jonathan May:
Macro-Average: Rare Types Are Important Too. CoRR abs/2104.05700 (2021) - 2020
- [c9]Thamme Gowda, Jonathan May:
Finding the Optimal Vocabulary Size for Neural Machine Translation. EMNLP (Findings) 2020: 3955-3964 - [c8]Ninareh Mehrabi, Thamme Gowda, Fred Morstatter, Nanyun Peng, Aram Galstyan:
Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition. HT 2020: 231-232 - [i3]Thamme Gowda, Jonathan May:
Neural Machine Translation with Imbalanced Classes. CoRR abs/2004.02334 (2020)
2010 – 2019
- 2019
- [c7]Elizabeth Boschee, Joel Barry, Jayadev Billa, Marjorie Freedman, Thamme Gowda, Constantine Lignos, Chester Palen-Michel, Michael Pust, Banriskhem K. Khonglah, Srikanth R. Madikeri, Jonathan May, Scott Miller:
SARAL: A Low-Resource Cross-Lingual Domain-Focused Information Retrieval System for Effective Rapid Document Triage. ACL (3) 2019: 19-24 - [c6]Xiaoman Pan, Thamme Gowda, Heng Ji, Jonathan May, Scott Miller:
Cross-lingual Joint Entity and Word Embedding to Improve Entity Linking and Parallel Sentence Mining. DeepLo@EMNLP-IJCNLP 2019: 56-66 - [i2]Ninareh Mehrabi, Thamme Gowda, Fred Morstatter, Nanyun Peng, Aram Galstyan:
Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition. CoRR abs/1910.10872 (2019) - 2018
- [c5]Kiri L. Wagstaff, Raymond Francis, Thamme Gowda, You Lu, Ellen Riloff, Karanjeet Singh, Nina L. Lanza:
Mars Target Encyclopedia: Rock and Soil Composition Extracted From the Literature. AAAI 2018: 7861-7866 - [c4]Kiri L. Wagstaff, You Lu, Alice Stanboli, Kevin Grimes, Thamme Gowda, Jordan Padams:
Deep Mars: CNN Classification of Mars Imagery for the PDS Imaging Atlas. AAAI 2018: 7867-7872 - [c3]Kyle Hundman, Thamme Gowda, Mayank Kejriwal, Benedikt Boecking:
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection. AIES 2018: 137-143 - 2017
- [c2]Thamme Gowda, Kyle Hundman, Chris A. Mattmann:
An Approach for Automatic and Large Scale Image Forensics. MFSec@ICMR 2017: 16-20 - [i1]Kyle Hundman, Thamme Gowda, Mayank Kejriwal, Benedikt Boecking:
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection. CoRR abs/1712.00846 (2017) - 2016
- [c1]Thamme Gowda, Chris A. Mattmann:
Clustering Web Pages Based on Structure and Style Similarity (Application Paper). IRI 2016: 175-180
Coauthor Index
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