Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDJosef van Genabith
Person information
- affiliation: German Research Center for Artificial Intelligence (DFKI), Germany
- affiliation: Saarland University, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[c184]Hongfei Xu
, Qiuhui Liu, Josef van Genabith, Deyi Xiong, Meng Zhang:
Multi-Head Highly Parallelized LSTM Decoder for Neural Machine Translation. ACL/IJCNLP (1) 2021: 273-282- [c183]Jingyi Zhang, Josef van Genabith:
A Bidirectional Transformer Based Alignment Model for Unsupervised Word Alignment. ACL/IJCNLP (1) 2021: 283-292 - [c182]Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong:
Modeling Task-Aware MIMO Cardinality for Efficient Multilingual Neural Machine Translation. ACL/IJCNLP (2) 2021: 361-367 - [c181]Rashad Albo Jamara, Nico Herbig, Antonio Krüger, Josef van Genabith:
Mid-Air Hand Gestures for Post-Editing of Machine Translation. ACL/IJCNLP (1) 2021: 6763-6773 - [c180]Jörg Steffen, Josef van Genabith:
TransIns: Document Translation with Markup Reinsertion. EMNLP (Demos) 2021: 28-34 - [c179]Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong:
Learning Hard Retrieval Decoder Attention for Transformers. EMNLP (Findings) 2021: 779-785 - [c178]Daria Pylypenko, Kwabena Amponsah-Kaakyire, Koel Dutta Chowdhury, Josef van Genabith, Cristina España-Bonet:
Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification. EMNLP (1) 2021: 8596-8611 - [c177]Raksha Shenoy, Nico Herbig, Antonio Krüger, Josef van Genabith:
Investigating the Helpfulness of Word-Level Quality Estimation for Post-Editing Machine Translation Output. EMNLP (1) 2021: 10173-10185 - [c176]Dana Ruiter, Dietrich Klakow, Josef van Genabith, Cristina España-Bonet:
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages. MTSummit (1) 2021: 76-91 - [c175]Hongfei Xu, Josef van Genabith, Qiuhui Liu, Deyi Xiong:
Probing Word Translations in the Transformer and Trading Decoder for Encoder Layers. NAACL-HLT 2021: 74-85 - [c174]Andrea Lösch, Valérie Mapelli, Khalid Choukri, Maria Giagkou, Stelios Piperidis, Prokopis Prokopidis, Vassilis Papavassiliou, Miltos Deligiannis, Aivars Berzins, Andrejs Vasiljevs, Eileen Schnur, Thierry Declerck, Josef van Genabith:
Collection and Curation of Language Data within the European Language Resource Coordination (ELRC). Qurator 2021 - [c173]Koel Dutta Chowdhury, Cristina España-Bonet, Josef van Genabith:
Tracing Source Language Interference in Translation with Graph-Isomorphism Measures. RANLP 2021: 375-385 - [i23]Dana Ruiter, Dietrich Klakow, Josef van Genabith, Cristina España-Bonet:
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages. CoRR abs/2107.08772 (2021) - [i22]Daria Pylypenko, Kwabena Amponsah-Kaakyire, Koel Dutta Chowdhury, Josef van Genabith, Cristina España-Bonet:
Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification. CoRR abs/2109.07604 (2021) - 2020
- [c172]Nico Herbig, Santanu Pal, Tim Düwel, Kalliopi Meladaki, Mahsa Monshizadeh, Vladislav Hnatovskiy, Antonio Krüger, Josef van Genabith:
MMPE: A Multi-Modal Interface using Handwriting, Touch Reordering, and Speech Commands for Post-Editing Machine Translation. ACL (demo) 2020: 327-334 - [c171]Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu, Jingyi Zhang:
Learning Source Phrase Representations for Neural Machine Translation. ACL 2020: 386-396 - [c170]Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong, Jingyi Zhang:
Lipschitz Constrained Parameter Initialization for Deep Transformers. ACL 2020: 397-402 - [c169]Nico Herbig, Tim Düwel, Santanu Pal, Kalliopi Meladaki, Mahsa Monshizadeh, Antonio Krüger, Josef van Genabith:
MMPE: A Multi-Modal Interface for Post-Editing Machine Translation. ACL 2020: 1691-1702 - [c168]Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu:
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change. ACL 2020: 3519-3524 - [c167]Nico Herbig, Santanu Pal, Tim Düwel, Raksha Shenoy, Antonio Krüger, Josef van Genabith:
Improving the Multi-Modal Post-Editing (MMPE) CAT Environment based on Professional Translators' Feedback. PEMDT@AMTA 2020: 93-108 - [c166]Santanu Pal, Hongfei Xu, Nico Herbig, Sudip Kumar Naskar, Antonio Krüger, Josef van Genabith:
The Transference Architecture for Automatic Post-Editing. COLING 2020: 5963-5974 - [c165]Koel Dutta Chowdhury, Cristina España-Bonet, Josef van Genabith:
Understanding Translationese in Multi-view Embedding Spaces. COLING 2020: 6056-6062 - [c164]Dana Ruiter, Josef van Genabith, Cristina España-Bonet:
Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation. EMNLP (1) 2020: 2560-2571 - [c163]Jingyi Zhang, Josef van Genabith:
Translation Quality Estimation by Jointly Learning to Score and Rank. EMNLP (1) 2020: 2592-2598 - [c162]Loitongbam Sanayai Meetei, Thoudam Doren Singh, Sivaji Bandyopadhyay, Mihaela Vela, Josef van Genabith:
English to Manipuri and Mizo Post-Editing Effort and its Impact on Low Resource Machine Translation. ICON 2020: 50-59 - [c161]Hongfei Xu, Deyi Xiong, Josef van Genabith, Qiuhui Liu:
Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware Gating. IJCAI 2020: 3933-3940 - [c160]Yuri Bizzoni, Tom S. Juzek, Cristina España-Bonet, Koel Dutta Chowdhury, Josef van Genabith, Elke Teich:
How Human is Machine Translationese? Comparing Human and Machine Translations of Text and Speech. IWSLT 2020: 280-290 - [c159]Georg Rehm, Katrin Marheinecke, Stefanie Hegele, Stelios Piperidis, Kalina Bontcheva, Jan Hajic, Khalid Choukri, Andrejs Vasiljevs, Gerhard Backfried, Christoph Prinz, José Manuél Gómez-Pérez, Luc Meertens, Paul Lukowicz, Josef van Genabith, Andrea Lösch, Philipp Slusallek, Morten Irgens, Patrick Gatellier, Joachim Köhler, Laure Le Bars, Dimitra Anastasiou, Albina Auksoriute, Núria Bel, António Branco, Gerhard Budin, Walter Daelemans, Koenraad De Smedt, Radovan Garabík, Maria Gavriilidou, Dagmar Gromann, Svetla Koeva, Simon Krek, Cvetana Krstev, Krister Lindén, Bernardo Magnini, Jan Odijk, Maciej Ogrodniczuk, Eiríkur Rögnvaldsson, Mike Rosner, Bolette S. Pedersen, Inguna Skadina, Marko Tadic, Dan Tufis, Tamás Váradi, Kadri Vider, Andy Way, François Yvon:
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe. LREC 2020: 3322-3332 - [c158]Lilli Smal, Andrea Lösch, Josef van Genabith, Maria Giagkou, Thierry Declerck, Stephan Busemann:
Language Data Sharing in European Public Services - Overcoming Obstacles and Creating Sustainable Data Sharing Infrastructures. LREC 2020: 3443-3448 - [c157]Sourav Dutta, Jesujoba O. Alabi, Saptarashmi Bandyopadhyay, Dana Ruiter, Josef van Genabith:
UdS-DFKI@WMT20: Unsupervised MT and Very Low Resource Supervised MT for German-Upper Sorbian. WMT@EMNLP 2020: 1092-1098 - [i21]Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu:
Analyzing Word Translation of Transformer Layers. CoRR abs/2003.09586 (2020) - [i20]Georg Rehm, Katrin Marheinecke, Stefanie Hegele, Stelios Piperidis, Kalina Bontcheva, Jan Hajic, Khalid Choukri, Andrejs Vasiljevs, Gerhard Backfried, Christoph Prinz, José Manuél Gómez-Pérez, Luc Meertens, Paul Lukowicz, Josef van Genabith, Andrea Lösch, Philipp Slusallek, Morten Irgens, Patrick Gatellier, Joachim Köhler, Laure Le Bars, Dimitra Anastasiou, Albina Auksoriute, Núria Bel, António Branco, Gerhard Budin, Walter Daelemans, Koenraad De Smedt, Radovan Garabík, Maria Gavrilidou, Dagmar Gromann, Svetla Koeva, Simon Krek, Cvetana Krstev, Krister Lindén, Bernardo Magnini, Jan Odijk, Maciej Ogrodniczuk, Eiríkur Rögnvaldsson, Mike Rosner, Bolette Sandford Pedersen, Inguna Skadina, Marko Tadic, Dan Tufis, Tamás Váradi, Kadri Vider, Andy Way, François Yvon:
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe. CoRR abs/2003.13833 (2020) - [i19]Dana Ruiter, Cristina España-Bonet, Josef van Genabith:
Self-Induced Curriculum Learning in Neural Machine Translation. CoRR abs/2004.03151 (2020) - [i18]Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu:
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change. CoRR abs/2005.02008 (2020) - [i17]Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu, Jingyi Zhang:
Learning Source Phrase Representations for Neural Machine Translation. CoRR abs/2006.14405 (2020) - [i16]Hongfei Xu, Qiuhui Liu, Deyi Xiong, Josef van Genabith:
Transformer with Depth-Wise LSTM. CoRR abs/2007.06257 (2020) - [i15]Eleni Metheniti, Guenter Neumann, Josef van Genabith:
Linguistically inspired morphological inflection with a sequence to sequence model. CoRR abs/2009.02073 (2020)
2010 – 2019
- 2019
- [j22]Nico Herbig, Santanu Pal, Mihaela Vela, Antonio Krüger, Josef van Genabith:
Multi-modal indicators for estimating perceived cognitive load in post-editing of machine translation. Mach. Transl. 33(1-2): 91-115 (2019) - [c156]Dana Ruiter, Cristina España-Bonet, Josef van Genabith:
Self-Supervised Neural Machine Translation. ACL (1) 2019: 1828-1834 - [c155]Nico Herbig, Santanu Pal, Josef van Genabith, Antonio Krüger:
Multi-Modal Approaches for Post-Editing Machine Translation. CHI 2019: 231 - [c154]Ekaterina Lapshinova-Koltunski, Cristina España-Bonet, Josef van Genabith:
Analysing Coreference in Transformer Outputs. DiscoMT@EMNLP 2019: 1-12 - [c153]Mihaela Vela, Santanu Pal, Marcos Zampieri, Sudip Kumar Naskar, Josef van Genabith:
Improving CAT Tools in the Translation Workflow: New Approaches and Evaluation. MTSummit (2) 2019: 8-15 - [c152]Santanu Pal, Hongfei Xu, Nico Herbig, Antonio Krüger, Josef van Genabith:
USAAR-DFKI - The Transference Architecture for English-German Automatic Post-Editing. WMT (3) 2019: 124-131 - [c151]Hongfei Xu, Qiuhui Liu, Josef van Genabith:
UdS Submission for the WMT 19 Automatic Post-Editing Task. WMT (3) 2019: 145-150 - [c150]Santanu Pal, Marcos Zampieri, Josef van Genabith:
UDS-DFKI Submission to the WMT2019 Czech-Polish Similar Language Translation Shared Task. WMT (3) 2019: 219-223 - [c149]Riktim Mondal, Shankha Raj Nayek, Aditya Chowdhury, Santanu Pal, Sudip Kumar Naskar, Josef van Genabith:
JU-Saarland Submission to the WMT2019 English-Gujarati Translation Shared Task. WMT (2) 2019: 308-313 - [c148]Jingyi Zhang, Josef van Genabith:
DFKI-NMT Submission to the WMT19 News Translation Task. WMT (2) 2019: 440-444 - [i14]Nico Herbig, Santanu Pal, Josef van Genabith, Antonio Krüger:
Integrating Artificial and Human Intelligence for Efficient Translation. CoRR abs/1903.02978 (2019) - [i13]Hongfei Xu, Qiuhui Liu, Josef van Genabith:
UdS Submission for the WMT 19 Automatic Post-Editing Task. CoRR abs/1908.03402 (2019) - [i12]Santanu Pal, Marcos Zampieri, Josef van Genabith:
UDS-DFKI Submission to the WMT2019 Similar Language Translation Shared Task. CoRR abs/1908.06138 (2019) - [i11]Mihaela Vela, Santanu Pal, Marcos Zampieri, Sudip Kumar Naskar, Josef van Genabith:
Improving CAT Tools in the Translation Workflow: New Approaches and Evaluation. CoRR abs/1908.06140 (2019) - [i10]Santanu Pal, Hongfei Xu, Nico Herbig, Sudip Kumar Naskar, Antonio Krüger, Josef van Genabith:
The Transference Architecture for Automatic Post-Editing. CoRR abs/1908.06151 (2019) - [i9]Ekaterina Lapshinova-Koltunski, Cristina España-Bonet, Josef van Genabith:
Analysing Coreference in Transformer Outputs. CoRR abs/1911.01188 (2019) - [i8]Hongfei Xu, Qiuhui Liu, Josef van Genabith, Jingyi Zhang:
Why Deep Transformers are Difficult to Converge? From Computation Order to Lipschitz Restricted Parameter Initialization. CoRR abs/1911.03179 (2019) - 2018
- [j21]Alina Karakanta, Jon Dehdari, Josef van Genabith:
Neural machine translation for low-resource languages without parallel corpora. Mach. Transl. 32(1-2): 167-189 (2018) - [c147]Khyathi Raghavi Chandu, Ekaterina Loginova, Vishal Gupta, Josef van Genabith, Günter Neumann, Manoj Kumar Chinnakotla, Eric Nyberg, Alan W. Black:
Code-Mixed Question Answering Challenge: Crowd-sourcing Data and Techniques. CodeSwitch@ACL 2018: 29-38 - [c146]Georg Heigold, Stalin Varanasi, Günter Neumann, Josef van Genabith:
How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse? AMTA (1) 2018: 68-80 - [c145]Andrea Lösch, Valérie Mapelli, Stelios Piperidis, Andrejs Vasiljevs, Lilli Smal, Thierry Declerck, Eileen Schnur, Khalid Choukri, Josef van Genabith:
European Language Resource Coordination: Collecting Language Resources for Public Sector Multilingual Information Management. LREC 2018 - [c144]Cristina España-Bonet, Juliane Stiller, Roland Ramthun, Josef van Genabith, Vivien Petras:
Query Translation for Cross-Lingual Search in the Academic Search Engine PubPsych. MTSR 2018: 37-49 - [c143]Santanu Pal, Nico Herbig, Antonio Krüger, Josef van Genabith:
A Transformer-Based Multi-Source Automatic Post-Editing System. WMT (shared task) 2018: 827-835 - [e3]Gennady Agre, Josef van Genabith, Thierry Declerck:
Artificial Intelligence: Methodology, Systems, and Applications - 18th International Conference, AIMSA 2018, Varna, Bulgaria, September 12-14, 2018, Proceedings. Lecture Notes in Computer Science 11089, Springer 2018, ISBN 978-3-319-99343-0 [contents] - [i7]Ahmad Taie, Raphael Rubino, Josef van Genabith:
INFODENS: An Open-source Framework for Learning Text Representations. CoRR abs/1810.07091 (2018) - 2017
- [j20]Cristina España-Bonet, Ádám Csaba Varga, Alberto Barrón-Cedeño, Josef van Genabith:
An Empirical Analysis of NMT-Derived Interlingual Embeddings and Their Use in Parallel Sentence Identification. IEEE J. Sel. Top. Signal Process. 11(8): 1340-1350 (2017) - [c142]Fraser Bowen, Jon Dehdari, Josef van Genabith:
The Effect of Error Rate in Artificially Generated Data for Automatic Preposition and Determiner Correction. NUT@EMNLP 2017: 68-76 - [c141]Hans Uszkoreit, Aleksandra Gabryszak, Leonhard Hennig, Jörg Steffen, Renlong Ai, Stephan Busemann, Jon Dehdari, Josef van Genabith, Georg Heigold, Nils Rethmeier, Raphael Rubino, Sven Schmeier, Philippe Thomas, He Wang, Feiyu Xu:
Common Round: Application of Language Technologies to Large-Scale Web Debates. EACL (Software Demonstrations) 2017: 5-8 - [c140]Santanu Pal, Sudip Kumar Naskar, Mihaela Vela, Qun Liu, Josef van Genabith:
Neural Automatic Post-Editing Using Prior Alignment and Reranking. EACL (2) 2017: 349-355 - [c139]Georg Heigold, Guenter Neumann, Josef van Genabith:
An Extensive Empirical Evaluation of Character-Based Morphological Tagging for 14 Languages. EACL (1) 2017: 505-513 - [c138]Octavia-Maria Sulea, Marcos Zampieri, Shervin Malmasi, Mihaela Vela, Liviu P. Dinu, Josef van Genabith:
Exploring the Use of Text Classification in the Legal Domain. ASAIL@ICAIL 2017 - [c137]Octavia-Maria Sulea, Marcos Zampieri, Mihaela Vela, Josef van Genabith:
Predicting the Law Area and Decisions of French Supreme Court Cases. RANLP 2017: 716-722 - [i6]Georg Heigold, Günter Neumann, Josef van Genabith:
How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse? CoRR abs/1704.04441 (2017) - [i5]Cristina España-Bonet, Ádám Csaba Varga, Alberto Barrón-Cedeño, Josef van Genabith:
An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification. CoRR abs/1704.05415 (2017) - [i4]Ben Peters, Jon Dehdari, Josef van Genabith:
Massively Multilingual Neural Grapheme-to-Phoneme Conversion. CoRR abs/1708.01464 (2017) - [i3]Octavia-Maria Sulea, Marcos Zampieri, Mihaela Vela, Josef van Genabith:
Predicting the Law Area and Decisions of French Supreme Court Cases. CoRR abs/1708.01681 (2017) - [i2]Octavia-Maria Sulea, Marcos Zampieri, Shervin Malmasi, Mihaela Vela, Liviu P. Dinu, Josef van Genabith:
Exploring the Use of Text Classification in the Legal Domain. CoRR abs/1710.09306 (2017) - 2016
- [j19]Georg Rehm, Hans Uszkoreit, Sophia Ananiadou, Núria Bel, Audroné Bieleviciené, Lars Borin, António Branco, Gerhard Budin, Nicoletta Calzolari, Walter Daelemans, Radovan Garabík, Marko Grobelnik, Carmen García-Mateo, Josef van Genabith, Jan Hajic, Inma Hernáez, John Judge, Svetla Koeva, Simon Krek, Cvetana Krstev, Krister Lindén, Bernardo Magnini, Joseph Mariani, John McNaught, Maite Melero, Monica Monachini, Asunción Moreno, Jan Odijk, Maciej Ogrodniczuk, Piotr Pezik, Stelios Piperidis, Adam Przepiórkowski, Eiríkur Rögnvaldsson, Mike Rosner, Bolette Sandford Pedersen, Inguna Skadina, Koenraad De Smedt, Marko Tadic, Paul Thompson, Dan Tufis, Tamás Váradi, Andrejs Vasiljevs, Kadri Vider, Jolanta Zabarskaite:
The strategic impact of META-NET on the regional, national and international level. Lang. Resour. Evaluation 50(2): 351-374 (2016) - [j18]Rohit Gupta, Constantin Orasan, Marcos Zampieri, Mihaela Vela, Josef van Genabith, Ruslan Mitkov:
Improving translation memory matching and retrieval using paraphrases. Mach. Transl. 30(1-2): 19-40 (2016) - [j17]Mohammed Attia, Pavel Pecina, Younes Samih, Khaled Shaalan, Josef van Genabith:
Arabic spelling error detection and correction. Nat. Lang. Eng. 22(5): 751-773 (2016) - [j16]Artuur Leeuwenberg, Mihaela Vela, Jon Dehdari, Josef van Genabith:
A Minimally Supervised Approach for Synonym Extraction with Word Embeddings. Prague Bull. Math. Linguistics 105: 111-142 (2016) - [c136]Santanu Pal, Sudip Kumar Naskar, Mihaela Vela, Josef van Genabith:
A Neural Network based Approach to Automatic Post-Editing. ACL (2) 2016 - [c135]Georg Heigold, Josef van Genabith, Günter Neumann:
Scaling character-based morphological tagging to fourteen languages. IEEE BigData 2016: 3895-3902 - [c134]Santanu Pal, Sudip Kumar Naskar, Josef van Genabith:
Forest to String Based Statistical Machine Translation with Hybrid Word Alignments. CICLing (2) 2016: 38-50 - [c133]Santanu Pal, Sudip Kumar Naskar, Marcos Zampieri, Tapas Nayak, Josef van Genabith:
CATaLog Online: A Web-based CAT Tool for Distributed Translation with Data Capture for APE and Translation Process Research. COLING (Demos) 2016: 98-102 - [c132]Raphaël Rubino, Stefania Degaetano-Ortlieb, Elke Teich, Josef van Genabith:
Modeling Diachronic Change in Scientific Writing with Information Density. COLING 2016: 750-761 - [c131]Santanu Pal, Sudip Kumar Naskar, Josef van Genabith:
Multi-Engine and Multi-Alignment Based Automatic Post-Editing and its Impact on Translation Productivity. COLING 2016: 2559-2570 - [c130]Andrejs Vasiljevs, Jan Hajic, Jochen Hummel, Josef van Genabith, Rihards Kalnins:
European Platform for the Multilingual Digital Single Market: Conceptual Proposal. Baltic HLT 2016: 20-27 - [c129]Santanu Pal, Marcos Zampieri, Sudip Kumar Naskar, Tapas Nayak, Mihaela Vela, Josef van Genabith:
CATaLog Online: Porting a Post-editing Tool to the Web. LREC 2016 - [c128]Georg Rehm, Jan Hajic, Josef van Genabith, Andrejs Vasiljevs:
Fostering the Next Generation of European Language Technology: Recent Developments ― Emerging Initiatives ― Challenges and Opportunities. LREC 2016 - [c127]Jon Dehdari, Liling Tan, Josef van Genabith:
Scaling Up Word Clustering. HLT-NAACL Demos 2016: 42-46 - [c126]Raphael Rubino, Ekaterina Lapshinova-Koltunski, Josef van Genabith:
Information Density and Quality Estimation Features as Translationese Indicators for Human Translation Classification. HLT-NAACL 2016: 960-970 - [c125]Jon Dehdari, Liling Tan, Josef van Genabith:
BIRA: Improved Predictive Exchange Word Clustering. HLT-NAACL 2016: 1169-1174 - [c124]Liling Tan, Carolina Scarton, Lucia Specia, Josef van Genabith:
SAARSHEFF at SemEval-2016 Task 1: Semantic Textual Similarity with Machine Translation Evaluation Metrics and (eXtreme) Boosted Tree Ensembles. SemEval@NAACL-HLT 2016: 628-633 - [c123]Hanna Béchara, Rohit Gupta, Liling Tan, Constantin Orasan, Ruslan Mitkov, Josef van Genabith:
WOLVESAAR at SemEval-2016 Task 1: Replicating the Success of Monolingual Word Alignment and Neural Embeddings for Semantic Textual Similarity. SemEval@NAACL-HLT 2016: 634-639 - [c122]Marcos Zampieri, Liling Tan, Josef van Genabith:
MacSaar at SemEval-2016 Task 11: Zipfian and Character Features for ComplexWord Identification. SemEval@NAACL-HLT 2016: 1001-1005 - [c121]Liling Tan, Francis Bond, Josef van Genabith:
USAAR at SemEval-2016 Task 13: Hyponym Endocentricity. SemEval@NAACL-HLT 2016: 1303-1309 - [c120]Koushik Pahari, Alapan Kuila, Santanu Pal, Sudip Kumar Naskar, Sivaji Bandyopadhyay, Josef van Genabith:
JU-USAAR: A Domain Adaptive MT System. WMT 2016: 442-448 - [c119]Santanu Pal, Marcos Zampieri, Josef van Genabith:
USAAR: An Operation Sequential Model for Automatic Statistical Post-Editing. WMT 2016: 759-763 - [i1]Georg Heigold, Guenter Neumann, Josef van Genabith:
Neural Morphological Tagging from Characters for Morphologically Rich Languages. CoRR abs/1606.06640 (2016) - 2015
- [j15]Antonio Toral, Pavel Pecina, Longyue Wang, Josef van Genabith:
Linguistically-augmented perplexity-based data selection for language models. Comput. Speech Lang. 32(1): 11-26 (2015) - [j14]Pavel Pecina, Antonio Toral, Vassilis Papavassiliou, Prokopis Prokopidis, Ales Tamchyna, Andy Way, Josef van Genabith:
Domain adaptation of statistical machine translation with domain-focused web crawling. Lang. Resour. Evaluation 49(1): 147-193 (2015) - [j13]Pratyush Banerjee, Raphael Rubino, Johann Roturier, Josef van Genabith:
Quality estimation-guided supplementary data selection for domain adaptation of statistical machine translation. Mach. Transl. 29(2): 77-100 (2015) - [c118]Liling Tan, Jon Dehdari, Josef van Genabith:
An Awkward Disparity between BLEU / RIBES Scores and Human Judgements in Machine Translation. WAT 2015: 74-81 - [c117]Santanu Pal, Partha Pakray, Alexander F. Gelbukh, Josef van Genabith:
Mining Parallel Resources for Machine Translation from Comparable Corpora. CICLing (1) 2015: 534-544 - [c116]Rohit Gupta, Constantin Orasan, Marcos Zampieri, Mihaela Vela, Josef van Genabith:
Can Translation Memories afford not to use paraphrasing? EAMT 2015 - [c115]Carolina Scarton, Marcos Zampieri, Mihaela Vela, Josef van Genabith, Lucia Specia:
Searching for Context: a Study on Document-Level Labels for Translation Quality Estimation. EAMT 2015 - [c114]Mihaela Vela, Josef van Genabith:
Re-assessing the WMT2013 Human Evaluation with Professional Translators Trainees. EAMT 2015 - [c113]Rohit Gupta, Constantin Orasan, Josef van Genabith:
ReVal: A Simple and Effective Machine Translation Evaluation Metric Based on Recurrent Neural Networks. EMNLP 2015: 1066-1072 - [c112]Liling Tan, Josef van Genabith, Francis Bond:
Passive and Pervasive Use of Bilingual Dictionary in Statistical Machine Translation. HyTra@ACL 2015: 30-34 - [c111]Liling Tan, Carolina Scarton, Lucia Specia, Josef van Genabith:
USAAR-SHEFFIELD: Semantic Textual Similarity with Deep Regression and Machine Translation Evaluation Metrics. SemEval@NAACL-HLT 2015: 85-89 - [c110]Liling Tan, Rohit Gupta, Josef van Genabith:
USAAR-WLV: Hypernym Generation with Deep Neural Nets. SemEval@NAACL-HLT 2015: 932-937 - [c109]Santanu Pal, Sudip Kumar Naskar, Josef van Genabith:
UdS-Sant: English-German Hybrid Machine Translation System. WMT@EMNLP 2015: 152-157 - [c108]Santanu Pal, Mihaela Vela, Sudip Kumar Naskar, Josef van Genabith:
USAAR-SAPE: An English-Spanish Statistical Automatic Post-Editing System. WMT@EMNLP 2015: 216-221 - [c107]Rohit Gupta, Constantin Orasan, Josef van Genabith:
Machine Translation Evaluation using Recurrent Neural Networks. WMT@EMNLP 2015: 380-384 - 2014
- [j12]Mohammed Attia, Pavel Pecina, Antonio Toral, Josef van Genabith:
A corpus-based finite-state morphological toolkit for contemporary arabic. J. Log. Comput. 24(2): 455-472 (2014) - [c106]Aswarth Abhilash Dara, Josef van Genabith, Qun Liu, John Judge, Antonio Toral:
Active Learning for Post-Editing Based Incrementally Retrained MT. EACL 2014: 185-189 - [c105]Santanu Pal, Braja Gopal Patra, Dipankar Das, Sudip Kumar Naskar, Sivaji Bandyopadhyay, Josef van Genabith:
How Sentiment Analysis Can Help Machine Translation. ICON 2014: 89-94 - [c104]Georg Rehm, Hans Uszkoreit, Sophia Ananiadou, Núria Bel, Audroné Bieleviciené, Lars Borin, António Branco, Gerhard Budin, Nicoletta Calzolari, Walter Daelemans, Radovan Garabík, Marko Grobelnik, Carmen García-Mateo, Josef van Genabith, Jan Hajic, Inma Hernáez, John Judge, Svetla Koeva, Simon Krek, Cvetana Krstev, Krister Lindén, Bernardo Magnini, Joseph Mariani, John McNaught, Maite Melero, Monica Monachini, Asunción Moreno, Jan Odijk, Maciej Ogrodniczuk, Piotr Pezik, Stelios Piperidis, Adam Przepiórkowski, Eiríkur Rögnvaldsson, Michael Rosner, Bolette S. Pedersen, Inguna Skadina, Koenraad De Smedt, Marko Tadic, Paul Thompson, Dan Tufis, Tamás Váradi, Andrejs Vasiljevs, Kadri Vider, Jolanta Zabarskaite:
The Strategic Impact of META-NET on the Regional, National and International Level. LREC 2014: 1517-1524 - 2013
- [j11]Ergun Biçici, Declan Groves, Josef van Genabith:
Predicting sentence translation quality using extrinsic and language independent features. Mach. Transl. 27(3-4): 171-192 (2013) - [c103]Pratyush Banerjee, Raphael Rubino, Johann Roturier, Josef van Genabith:
Quality Estimation-guided Data Selection for Domain Adaptation of SMT. MTSummit 2013 - [c102]Stephen Doherty, Declan Groves, Josef van Genabith, Arle Lommel, Aljoscha Burchardt, Hans Uszkoreit, Lucia Specia, Stelios Piperidis:
QTLaunchpad. MTSummit (European projects) 2013 - [c101]Aswarth Abhilash Dara, Sandipan Dandapat, Declan Groves, Josef van Genabith:
TMTprime: A Recommender System for MT and TM Integration. HLT-NAACL 2013: 10-13 - [c100]Ergun Biçici, Josef van Genabith:
CNGL: Grading Student Answers by Acts of Translation. SemEval@NAACL-HLT 2013: 585-591 - [c99]Ergun Biçici, Josef van Genabith:
CNGL-CORE: Referential Translation Machines for Measuring Semantic Similarity. *SEM@NAACL-HLT 2013: 234-240 - [c98]Tsuyoshi Okita, Qun Liu, Josef van Genabith:
Shallow Semantically-Informed PBSMT and HPBSMT. WMT@ACL 2013: 177-184 - 2012
- [j10]Christian Federmann, Maite Melero, Pavel Pecina, Josef van Genabith:
Towards Optimal Choice Selection for Improved Hybrid Machine Translation. Prague Bull. Math. Linguistics 97: 5-22 (2012) - [c97]Junhui Li, Zhaopeng Tu, Guodong Zhou, Josef van Genabith:
Head-Driven Hierarchical Phrase-based Translation. ACL (2) 2012: 33-37 - [c96]Zhaopeng Tu, Yifan He, Jennifer Foster, Josef van Genabith, Qun Liu, Shouxun Lin:
Identifying High-Impact Sub-Structures for Convolution Kernels in Document-level Sentiment Classification. ACL (2) 2012: 338-343 - [c95]Tsuyoshi Okita, Josef van Genabith:
Minimum Bayes Risk Decoding with Enlarged Hypothesis Space in System Combination. CICLing (2) 2012