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David Vilar
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- affiliation: RWTH Aachen University
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2020 – today
- 2024
- [c57]Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Xavier Garcia, Daniel Cremers:
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model. ACL (1) 2024: 15660-15679 - [c56]Mara Finkelstein, David Vilar, Markus Freitag:
Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data. WMT 2024: 1355-1372 - [i10]Firas Trabelsi, David Vilar, Mara Finkelstein, Markus Freitag:
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms. CoRR abs/2406.02832 (2024) - [i9]Mara Finkelstein, David Vilar, Markus Freitag:
Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data. CoRR abs/2408.06537 (2024) - 2023
- [c55]David Vilar, Markus Freitag, Colin Cherry, Jiaming Luo, Viresh Ratnakar, George F. Foster:
Prompting PaLM for Translation: Assessing Strategies and Performance. ACL (1) 2023: 15406-15427 - [c54]Jan-Thorsten Peter, David Vilar, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Markus Freitag:
There's No Data like Better Data: Using QE Metrics for MT Data Filtering. WMT 2023: 561-577 - [i8]Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Daniel Cremers:
Quality Control at Your Fingertips: Quality-Aware Translation Models. CoRR abs/2310.06707 (2023) - [i7]Jan-Thorsten Peter, David Vilar, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Markus Freitag:
There's no Data Like Better Data: Using QE Metrics for MT Data Filtering. CoRR abs/2311.05350 (2023) - 2022
- [c53]Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov:
Scaling Up Influence Functions. AAAI 2022: 8179-8186 - [c52]Markus Freitag, David Vilar, David Grangier, Colin Cherry, George F. Foster:
A Natural Diet: Towards Improving Naturalness of Machine Translation Output. ACL (Findings) 2022: 3340-3353 - [i6]David Vilar, Markus Freitag, Colin Cherry, Jiaming Luo, Viresh Ratnakar, George F. Foster:
Prompting PaLM for Translation: Assessing Strategies and Performance. CoRR abs/2211.09102 (2022) - 2021
- [c51]Julia Kreutzer, David Vilar, Artem Sokolov:
Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits. EMNLP (Findings) 2021: 3190-3204 - [c50]Andrea Schioppa, David Vilar, Artem Sokolov, Katja Filippova:
Controlling Machine Translation for Multiple Attributes with Additive Interventions. EMNLP (1) 2021: 6676-6696 - [c49]David Vilar, Marcello Federico:
A Statistical Extension of Byte-Pair Encoding. IWSLT 2021: 263-275 - [i5]Julia Kreutzer, David Vilar, Artem Sokolov:
Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits. CoRR abs/2110.06997 (2021) - [i4]Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov:
Scaling Up Influence Functions. CoRR abs/2112.03052 (2021) - 2020
- [c48]Tobias Domhan, Michael J. Denkowski, David Vilar, Xing Niu, Felix Hieber, Kenneth Heafield:
The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020. AMTA 2020: 110-115 - [c47]Felix Hieber, Tobias Domhan, Michael J. Denkowski, David Vilar:
Sockeye 2: A Toolkit for Neural Machine Translation. EAMT 2020: 457-458 - [i3]Tobias Domhan, Michael J. Denkowski, David Vilar, Xing Niu, Felix Hieber, Kenneth Heafield:
The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020. CoRR abs/2008.04885 (2020)
2010 – 2019
- 2019
- [c46]Maja Popovic, David Vilar:
Automatic error classification with multiple error labels. MTSummit (1) 2019: 87-95 - 2018
- [c45]Felix Hieber, Tobias Domhan, Michael J. Denkowski, David Vilar, Artem Sokolov, Ann Clifton, Matt Post:
The Sockeye Neural Machine Translation Toolkit at AMTA 2018. AMTA (1) 2018: 200-207 - [c44]David Vilar:
Learning Hidden Unit Contribution for Adapting Neural Machine Translation Models. NAACL-HLT (2) 2018: 500-505 - [c43]Matt Post, David Vilar:
Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation. NAACL-HLT 2018: 1314-1324 - [i2]Matt Post, David Vilar:
Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation. CoRR abs/1804.06609 (2018) - 2017
- [i1]Felix Hieber, Tobias Domhan, Michael J. Denkowski, David Vilar, Artem Sokolov, Ann Clifton, Matt Post:
Sockeye: A Toolkit for Neural Machine Translation. CoRR abs/1712.05690 (2017) - 2014
- [j4]Maja Popovic, Eleftherios Avramidis, Aljoscha Burchardt, Sabine Hunsicker, Sven Schmeier, Cindy Tscherwinka, David Vilar, Hans Uszkoreit:
Involving language professionals in the evaluation of machine translation. Lang. Resour. Evaluation 48(4): 541-559 (2014) - [c42]Stephan Peitz, David Vilar, Hermann Ney:
Simple and Effective Approach for Consistent Training of Hierarchical Phrase-based Translation Models. EACL 2014: 174-179 - [c41]Eleftherios Avramidis, Aljoscha Burchardt, Sabine Hunsicker, Maja Popovic, Cindy Tscherwinka, David Vilar, Hans Uszkoreit:
The taraXÜ corpus of human-annotated machine translations. LREC 2014: 2679-2682 - 2013
- [c40]Maja Popovic, Eleftherios Avramidis, Aljoscha Burchardt, Sabine Hunsicker, Sven Schmeier, Cindy Tscherwinka, David Vilar:
A CCG-based Quality Estimation Metric for Statistical Machine Translation Learning from Human Judgments of Machine Translation Output. MTSummit (Posters) 2013 - [c39]Maja Popovic, Eleftherios Avramidis, Aljoscha Burchardt, Sabine Hunsicker, Sven Schmeier, Cindy Tscherwinka, David Vilar:
Learning from Human Judgments of Machine Translation Output. MTSummit (Posters) 2013 - [c38]Maja Popovic, Eleftherios Avramidis, Aljoscha Burchardt, David Vilar, Hans Uszkoreit:
What can we learn about the selection mechanism for post-editing? WPTP@MTSummit 2013 - [c37]Matthias Huck, David Vilar, Markus Freitag, Hermann Ney:
A Performance Study of Cube Pruning for Large-Scale Hierarchical Machine Translation. SSST@NAACL-HLT 2013: 29-38 - 2012
- [j3]David Vilar, Daniel Stein, Matthias Huck, Hermann Ney:
Jane: an advanced freely available hierarchical machine translation toolkit. Mach. Transl. 26(3): 197-216 (2012) - [j2]David Vilar, Hermann Ney:
Cardinality pruning and language model heuristics for hierarchical phrase-based translation. Mach. Transl. 26(3): 217-254 (2012) - [c36]David Vilar, Michael Schneider, Aljoscha Burchardt, Thomas Wedde:
Towards the Integration of MT into a LSP Translation Workflow. EAMT 2012: 73-76 - [c35]Eleftherios Avramidis, Aljoscha Burchardt, Christian Federmann, Maja Popovic, Cindy Tscherwinka, David Vilar:
Involving Language Professionals in the Evaluation of Machine Translation. LREC 2012: 1127-1130 - [c34]David Vilar:
DFKI's SMT System for WMT 2012. WMT@NAACL-HLT 2012: 382-387 - 2011
- [b1]David Vilar Torres:
Investigations on hierarchical phrase-based machine translation. RWTH Aachen University, 2011, pp. 1-144 - [j1]Daniel Stein, David Vilar, Stephan Peitz, Markus Freitag, Matthias Huck, Hermann Ney:
A Guide to Jane, an Open Source Hierarchical Translation Toolkit. Prague Bull. Math. Linguistics 95: 5-18 (2011) - [c33]Matthias Huck, David Vilar, Daniel Stein, Hermann Ney:
Advancements in Arabic-to-English Hierarchical Machine Translation. EAMT 2011 - [c32]Matthias Huck, David Vilar, Daniel Stein, Hermann Ney:
Lightly-Supervised Training for Hierarchical Phrase-Based Machine Translation. ULNLP@EMNLP 2011: 91-96 - [c31]David Vilar, Eleftherios Avramidis, Maja Popovic, Sabine Hunsicker:
DFKI's SC and MT submissions to IWSLT 2011. IWSLT 2011: 98-105 - [c30]Eleftherios Avramidis, Maja Popovic, David Vilar, Aljoscha Burchardt:
Evaluate with Confidence Estimation: Machine ranking of translation outputs using grammatical features. WMT@EMNLP 2011: 65-70 - [c29]Maja Popovic, David Vilar, Eleftherios Avramidis, Aljoscha Burchardt:
Evaluation without references: IBM1 scores as evaluation metrics. WMT@EMNLP 2011: 99-103 - [c28]Jia Xu, Hans Uszkoreit, Casey Kennington, David Vilar, Xiaojun Zhang:
DFKI Hybrid Machine Translation System for WMT 2011 - On the Integration of SMT and RBMT. WMT@EMNLP 2011: 485-489 - 2010
- [c27]Daniel Stein, Stephan Peitz, David Vilar, Hermann Ney:
A Cocktail of Deep Syntactic Features for Hierarchical Machine Translation. AMTA 2010 - [c26]Saab Mansour, Stephan Peitz, David Vilar, Joern Wuebker, Hermann Ney:
The RWTH aachen machine translation system for IWSLT 2010. IWSLT 2010: 163-168 - [c25]Carmen Heger, Joern Wuebker, David Vilar, Hermann Ney:
A combination of hierarchical systems with forced alignments from phrase-based systems. IWSLT 2010: 291-297 - [c24]David Vilar, Daniel Stein, Stephan Peitz, Hermann Ney:
If i only had a parser: poor man's syntax for hierarchical machine translation. IWSLT 2010: 345-352 - [c23]David Vilar, Daniel Stein, Matthias Huck, Hermann Ney:
Jane: Open Source Hierarchical Translation, Extended with Reordering and Lexicon Models. WMT@ACL 2010: 262-270
2000 – 2009
- 2009
- [c22]David Vilar, Hermann Ney:
On LM Heuristics for the Cube Growing Algorithm. EAMT 2009 - [c21]Maja Popovic, David Vilar, Daniel Stein, Evgeny Matusov, Hermann Ney:
The RWTH Machine Translation System for WMT 2009. WMT@EACL 2009: 66-69 - 2008
- [c20]David Vilar, Daniel Stein, Yuqi Zhang, Evgeny Matusov, Arne Mauser, Oliver Bender, Saab Mansour, Hermann Ney:
The RWTH machine translation system for IWSLT 2008. IWSLT 2008: 108-115 - [c19]David Vilar, Daniel Stein, Hermann Ney:
Analysing soft syntax features and heuristics for hierarchical phrase based machine translation. IWSLT 2008: 190-197 - [c18]Christoph Schmidt, David Vilar, Hermann Ney:
Using a Bilingual Context in Word-Based Statistical Machine Translation. PRIS 2008: 144-153 - 2007
- [c17]Arne Mauser, David Vilar, Gregor Leusch, Yuqi Zhang, Hermann Ney:
The RWTH machine translation system for IWSLT 2007. IWSLT 2007: 161-168 - [c16]Marta R. Costa-jussà, Josep Maria Crego, David Vilar, José A. R. Fonollosa, José B. Mariño, Hermann Ney:
Analysis and System Combination of Phrase- and N-Gram-Based Statistical Machine Translation Systems. HLT-NAACL (Short Papers) 2007: 137-140 - [c15]Alfons Juan, David Vilar, Hermann Ney:
Bridging the Gap between Naive Bayes and Maximum Entropy Text Classification. PRIS 2007: 59-65 - [c14]David Vilar, Jan-Thorsten Peter, Hermann Ney:
Can We Translate Letters? WMT@ACL 2007: 33-39 - [c13]David Vilar, Gregor Leusch, Hermann Ney, Rafael E. Banchs:
Human Evaluation of Machine Translation Through Binary System Comparisons. WMT@ACL 2007: 96-103 - 2006
- [c12]David Vilar, Maja Popovic, Hermann Ney:
AER: do we need to "improve" our alignments? IWSLT 2006: 205-212 - [c11]David Vilar, Jia Xu, Luis Fernando D'Haro, Hermann Ney:
Error Analysis of Statistical Machine Translation Output. LREC 2006: 697-702 - 2005
- [c10]Gregor Leusch, Nicola Ueffing, David Vilar, Hermann Ney:
Preprocessing and Normalization for Automatic Evaluation of Machine Translation. IEEvaluation@ACL 2005: 17-24 - [c9]Maja Popovic, David Vilar, Hermann Ney, Slobodan Jovicic, Zoran Saric:
Augmenting a Small Parallel Text with Morpho-Syntactic Language. ParallelText@ACL 2005: 41-48 - [c8]Stephan Kanthak, David Vilar, Evgeny Matusov, Richard Zens, Hermann Ney:
Novel Reordering Approaches in Phrase-Based Statistical Machine Translation. ParallelText@ACL 2005: 167-174 - [c7]Oliver Bender, Sasa Hasan, David Vilar, Richard Zens, Hermann Ney:
Comparison of generation strategies for interactive machine translation. EAMT 2005 - [c6]David Vilar, Evgeny Matusov, Sasa Hasan, Richard Zens, Hermann Ney:
Statistical Machine Translation of European Parliamentary Speeches. MTSummit 2005: 259-266 - 2004
- [c5]David Vilar, Hermann Ney, Alfons Juan, Enrique Vidal:
Effect of Feature Smoothing Methods in Text Classification Tasks. PRIS 2004: 108-117 - [c4]David Vilar, María José Castro, Emilio Sanchis:
Multi-label Text Classification Using Multinomial Models. EsTAL 2004: 220-230 - 2003
- [c3]María José Castro, David Vilar, Pablo Aibar, Emilio Sanchis:
Dialogue Act Classification in a Spoken Dialogue System. CAEPIA 2003: 260-270 - [c2]María José Castro Bleda, David Vilar, Emilio Sanchis, Pablo Aibar:
Uniclass and Multiclass Connectionist Classification of Dialogue Acts. CIARP 2003: 266-273 - [c1]David Vilar, María José Castro, Emilio Sanchis:
Connectionist classification and specific stochastic models in the understanding process of a dialogue system. INTERSPEECH 2003: 645-648
Coauthor Index
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