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ORCIDJosef van Genabith
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- affiliation: German Research Center for Artificial Intelligence (DFKI), Germany
- affiliation: Saarland University, Germany
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2020 – today
- 2025
[c207]Shakib Yazdani, Josef van Genabith, Cristina España-Bonet:
Continual Learning in Multilingual Sign Language Translation. NAACL (Long Papers) 2025: 10923-10938- [i42]Tatiana Anikina, Arne Binder, David Harbecke, Stalin Varanasi, Leonhard Hennig, Simon Ostermann, Sebastian Möller, Josef van Genabith:
Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution. CoRR abs/2501.19316 (2025) - [i41]Daniil Gurgurov
, Ivan Vykopal, Josef van Genabith, Simon Ostermann:
Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages. CoRR abs/2502.10140 (2025) - [i40]Tanja Baeumel, Josef van Genabith, Simon Ostermann:
The Lookahead Limitation: Why Multi-Operand Addition is Hard for LLMs. CoRR abs/2502.19981 (2025) - [i39]Sayed Muddashir Hossain, Simon Ostermann, Patrick Gebhard, Cord Benecke, Josef van Genabith, Philipp Müller:
AutoPsyC: Automatic Recognition of Psychodynamic Conflicts from Semi-structured Interviews with Large Language Models. CoRR abs/2503.21911 (2025) - [i38]Daniil Gurgurov, Michal Gregor, Josef van Genabith, Simon Ostermann:
On Multilingual Encoder Language Model Compression for Low-Resource Languages. CoRR abs/2505.16956 (2025) - 2024
- [c206]Yasser Hamidullah, Josef van Genabith, Cristina España-Bonet:
Sign Language Translation with Sentence Embedding Supervision. ACL (Short Papers) 2024: 425-434 - [c205]Hongfei Xu, Yang Song, Qiuhui Liu, Josef van Genabith, Deyi Xiong:
Rewiring the Transformer with Depth-Wise LSTMs. LREC/COLING 2024: 14122-14133 - [c204]Niyati Bafna, Cristina España-Bonet, Josef van Genabith, Benoît Sagot, Rachel Bawden:
When Your Cousin Has the Right Connections: Unsupervised Bilingual Lexicon Induction for Related Data-Imbalanced Languages. LREC/COLING 2024: 17544-17556 - [c203]Maria Kunilovskaya, Koel Dutta Chowdhury, Heike Przybyl, Cristina España-Bonet, Josef van Genabith:
Mitigating Translationese with GPT-4: Strategies and Performance. EAMT (1) 2024: 411-430 - [c202]Cennet Oguz, Pascal Denis, Simon Ostermann, Emmanuel Vincent, Natalia Skachkova, Josef van Genabith:
MMAR: Multilingual and Multimodal Anaphora Resolution in Instructional Videos. EMNLP (Findings) 2024: 1618-1633 - [c201]Alina Leippert, Tatiana Anikina, Bernd Kiefer, Josef van Genabith:
To Clarify or not to Clarify: A Comparative Analysis of Clarification Classification with Fine-Tuning, Prompt Tuning, and Prompt Engineering. NAACL (Student Research Workshop) 2024: 105-115 - [c200]Fedor Sizov, Cristina España-Bonet, Josef van Genabith, Roy Xie, Koel Dutta Chowdhury:
Analysing Translation Artifacts: A Comparative Study of LLMs, NMTs, and Human Translations. WMT 2024: 1183-1199 - [i37]Qianli Wang, Tatiana Anikina, Nils Feldhus, Josef van Genabith, Leonhard Hennig, Sebastian Möller:
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools. CoRR abs/2401.12576 (2024) - [i36]Soniya Vijayakumar, Josef van Genabith, Simon Ostermann:
Probing Context Localization of Polysemous Words in Pre-trained Language Model Sub-Layers. CoRR abs/2409.14097 (2024) - 2023
- [j24]Hongyang Chang, Hongfei Xu, Josef van Genabith, Deyi Xiong, Hongying Zan:
JoinER-BART: Joint Entity and Relation Extraction With Constrained Decoding, Representation Reuse and Fusion. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3603-3616 (2023) - [c199]Sangeet Sagar, Mirco Ravanelli, Bernd Kiefer, Ivana Kruijff-Korbayová, Josef van Genabith:
Rescuespeech: A German Corpus for Speech Recognition in Search and Rescue Domain. ASRU 2023: 1-7 - [c198]Tanja Baeumel, Soniya Vijayakumar, Josef van Genabith, Guenter Neumann, Simon Ostermann:
Investigating the Encoding of Words in BERT's Neurons Using Feature Textualization. BlackboxNLP@EMNLP 2023: 261-270 - [c197]Yusser Al Ghussin, Jingyi Zhang, Josef van Genabith:
Exploring Paracrawl for Document-level Neural Machine Translation. EACL 2023: 1296-1302 - [c196]Sonal Sannigrahi, Josef van Genabith, Cristina España-Bonet:
Are the Best Multilingual Document Embeddings simply Based on Sentence Embeddings? EACL (Findings) 2023: 2261-2271 - [c195]Rricha Jalota, Koel Dutta Chowdhury, Cristina España-Bonet, Josef van Genabith:
Translating away Translationese without Parallel Data. EMNLP 2023: 7086-7100 - [c194]Cennet Oguz, Pascal Denis, Emmanuel Vincent, Simon Ostermann, Josef van Genabith:
Find-2-Find: Multitask Learning for Anaphora Resolution and Object Localization. EMNLP 2023: 8099-8110 - [c193]Tengxun Zhang, Hongfei Xu, Josef van Genabith, Deyi Xiong, Hongying Zan:
NAPG: Non-Autoregressive Program Generation for Hybrid Tabular-Textual Question Answering. NLPCC (1) 2023: 591-603 - [c192]Angana Borah, Daria Pylypenko, Cristina España-Bonet, Josef van Genabith:
Measuring Spurious Correlation in Classification: "Clever Hans" in Translationese. RANLP 2023: 196-206 - [c191]Niyati Bafna, Cristina España-Bonet, Josef van Genabith, Benoît Sagot, Rachel Bawden:
Cross-lingual Strategies for Low-resource Language Modeling: A Study on Five Indic Dialects. CORIA-TALN (1) 2023: 28-42 - [i35]Yusser Al Ghussin, Jingyi Zhang, Josef van Genabith:
Exploring Paracrawl for Document-level Neural Machine Translation. CoRR abs/2304.10216 (2023) - [i34]Sonal Sannigrahi, Josef van Genabith, Cristina España-Bonet:
Are the Best Multilingual Document Embeddings simply Based on Sentence Embeddings? CoRR abs/2304.14796 (2023) - [i33]Niyati Bafna, Cristina España-Bonet, Josef van Genabith, Benoît Sagot, Rachel Bawden:
A Simple Method for Unsupervised Bilingual Lexicon Induction for Data-Imbalanced, Closely Related Language Pairs. CoRR abs/2305.14012 (2023) - [i32]Sangeet Sagar, Mirco Ravanelli, Bernd Kiefer, Ivana Kruijff-Korbayová, Josef van Genabith:
RescueSpeech: A German Corpus for Speech Recognition in Search and Rescue Domain. CoRR abs/2306.04054 (2023) - [i31]Angana Borah, Daria Pylypenko, Cristina España-Bonet, Josef van Genabith:
Measuring Spurious Correlation in Classification: 'Clever Hans' in Translationese. CoRR abs/2308.13170 (2023) - [i30]Rricha Jalota, Koel Dutta Chowdhury, Cristina España-Bonet, Josef van Genabith:
Translating away Translationese without Parallel Data. CoRR abs/2310.18830 (2023) - [i29]Tanja Baeumel, Soniya Vijayakumar, Josef van Genabith, Guenter Neumann, Simon Ostermann:
Investigating the Encoding of Words in BERT's Neurons using Feature Textualization. CoRR abs/2311.08240 (2023) - [i28]Soniya Vijayakumar, Tanja Bäumel, Simon Ostermann, Josef van Genabith:
Where exactly does contextualization in a PLM happen? CoRR abs/2312.06514 (2023) - 2022
- [j23]Marcis Pinnis, Stephan Busemann, Arturs Vasilevskis, Josef van Genabith:
The German EU Council Presidency Translator. Künstliche Intell. 36(1): 99-104 (2022) - [c190]Kwabena Amponsah-Kaakyire, Daria Pylypenko, Josef van Genabith, Cristina España-Bonet:
Explaining Translationese: why are Neural Classifiers Better and what do they Learn? BlackboxNLP@EMNLP 2022: 281-296 - [c189]Niyati Bafna, Josef van Genabith, Cristina España-Bonet, Zdenek Zabokrtský:
Combining Noisy Semantic Signals with Orthographic Cues: Cognate Induction for the Indic Dialect Continuum. CoNLL 2022: 110-131 - [c188]Cennet Oguz, Ivana Kruijff-Korbayová, Emmanuel Vincent, Pascal Denis, Josef van Genabith:
Chop and Change: Anaphora Resolution in Instructional Cooking Videos. AACL/IJCNLP (Findings) 2022: 364-374 - [c187]Koel Dutta Chowdhury, Rricha Jalota, Cristina España-Bonet, Josef van Genabith:
Towards Debiasing Translation Artifacts. NAACL-HLT 2022: 3983-3991 - [c186]Yasser Hamidullah, Josef van Genabith, Cristina España-Bonet:
Spatio-temporal Sign Language Representation and Translation. WMT 2022: 977-982 - [i27]Koel Dutta Chowdhury, Rricha Jalota, Cristina España-Bonet, Josef van Genabith:
Towards Debiasing Translation Artifacts. CoRR abs/2205.08001 (2022) - [i26]Dana Ruiter, Thomas Kleinbauer, Cristina España-Bonet, Josef van Genabith, Dietrich Klakow:
Exploiting Social Media Content for Self-Supervised Style Transfer. CoRR abs/2205.08814 (2022) - [i25]Kwabena Amponsah-Kaakyire, Daria Pylypenko, Josef van Genabith, Cristina España-Bonet:
Explaining Translationese: why are Neural Classifiers Better and what do they Learn? CoRR abs/2210.13391 (2022) - [i24]Tengxun Zhang, Hongfei Xu, Josef van Genabith, Deyi Xiong, Hongying Zan:
NAPG: Non-Autoregressive Program Generation for Hybrid Tabular-Textual Question Answering. CoRR abs/2211.03462 (2022) - 2021
- [c185]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 - [c184]Jingyi Zhang, Josef van Genabith:
A Bidirectional Transformer Based Alignment Model for Unsupervised Word Alignment. ACL/IJCNLP (1) 2021: 283-292 - [c183]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 - [c182]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 - [c181]Jörg Steffen, Josef van Genabith:
TransIns: Document Translation with Markup Reinsertion. EMNLP (Demos) 2021: 28-34 - [c180]Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong:
Learning Hard Retrieval Decoder Attention for Transformers. EMNLP (Findings) 2021: 779-785 - [c179]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 - [c178]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 - [c177]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 - [c176]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 - [c175]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 - [c174]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
- [c173]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 - [c172]Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu, Jingyi Zhang:
Learning Source Phrase Representations for Neural Machine Translation. ACL 2020: 386-396 - [c171]Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong, Jingyi Zhang:
Lipschitz Constrained Parameter Initialization for Deep Transformers. ACL 2020: 397-402 - [c170]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 - [c169]Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu:
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change. ACL 2020: 3519-3524 - [c168]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 - [c167]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 - [c166]Koel Dutta Chowdhury, Cristina España-Bonet, Josef van Genabith:
Understanding Translationese in Multi-view Embedding Spaces. COLING 2020: 6056-6062 - [c165]Dana Ruiter, Josef van Genabith, Cristina España-Bonet:
Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation. EMNLP (1) 2020: 2560-2571 - [c164]Jingyi Zhang, Josef van Genabith:
Translation Quality Estimation by Jointly Learning to Score and Rank. EMNLP (1) 2020: 2592-2598 - [c163]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 - [c162]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 - [c161]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 - [c160]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 - [c159]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 - [c158]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) - [c157]Dana Ruiter, Cristina España-Bonet, Josef van Genabith:
Self-Supervised Neural Machine Translation. ACL (1) 2019: 1828-1834 - [c156]Nico Herbig, Santanu Pal, Josef van Genabith, Antonio Krüger:
Multi-Modal Approaches for Post-Editing Machine Translation. CHI 2019: 231 - [c155]Ekaterina Lapshinova-Koltunski, Cristina España-Bonet, Josef van Genabith:
Analysing Coreference in Transformer Outputs. DiscoMT@EMNLP 2019: 1-12 - [c154]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 - [c153]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 - [c152]Hongfei Xu, Qiuhui Liu, Josef van Genabith:
UdS Submission for the WMT 19 Automatic Post-Editing Task. WMT (3) 2019: 145-150 - [c151]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 - [c150]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 - [c149]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) - [c148]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 - [c147]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 - [c146]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 - [c145]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 - [c144]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) - [c143]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 - [c142]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 - [c141]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 - [c140]Georg Heigold, Guenter Neumann, Josef van Genabith:
An Extensive Empirical Evaluation of Character-Based Morphological Tagging for 14 Languages. EACL (1) 2017: 505-513 - [c139]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 - [c138]Cristina España-Bonet, Josef van Genabith:
Going beyond zero-shot MT: combining phonological, morphological and semantic factors. The UdS-DFKI System at IWSLT 2017. IWSLT 2017: 15-22 - [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: 40-51 - [c94]Xiaofeng Wu, Tsuyoshi Okita, Josef van Genabith, Qun Liu:
System Combination with Extra Alignment Information. AML@COLING 2012: 37-44 - [c93]Tsuyoshi Okita, Antonio Toral, Josef van Genabith:
Topic Modeling-based Domain Adaptation for System Combination. AML@COLING 2012: 45-54 - [c92]Tsuyoshi Okita, Raphaël Rubino, Josef van Genabith:
Sentence-Level Quality Estimation for MT System Combination. AML@COLING 2012: 55-64 - [c91]Mohammed Attia, Younes Samih, Khaled Shaalan, Josef van Genabith:
The Floating Arabic Dictionary: An Automatic Method for Updating a Lexical Database through the Detection and Lemmatization of Unknown Words. COLING 2012: 83-96 - [c90]Christian Federmann, Tsuyoshi Okita, Maite Melero, Marta R. Costa-jussà, Toni Badia, Josef van Genabith:
Results from the ML4HMT-12 Shared Task on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid Machine Translation. AML@COLING 2012: 85-90 - [c89]Mohammed Attia, Pavel Pecina, Younes Samih, Khaled Shaalan, Josef van Genabith:
Improved Spelling Error Detection and Correction for Arabic. COLING (Posters) 2012: 103-112 - [c88]Pratyush Banerjee, Sudip Kumar Naskar, Johann Roturier, Andy Way, Josef van Genabith:
Translation Quality-Based Supplementary Data Selection by Incremental Update of Translation Models. COLING 2012: 149-166 - [c87]Hanna Béchara, Raphaël Rubino, Yifan He, Yanjun Ma, Josef van Genabith:
An Evaluation of Statistical Post-Editing Systems Applied to RBMT and SMT Systems. COLING 2012: 215-230 - [c86]Zhaopeng Tu, Yang Liu, Yifan He, Josef van Genabith, Qun Liu, Shouxun Lin:
Combining Multiple Alignments to Improve Machine Translation. COLING (Posters) 2012: 1249-1260 - [c85]Pavel Pecina, Antonio Toral, Josef van Genabith:
Simple and Effective Parameter Tuning for Domain Adaptation of Statistical Machine Translation. COLING 2012: 2209-2224 - [c84]Pavel Pecina, Antonio Toral, Vassilis Papavassiliou, Prokopis Prokopidis, Josef van Genabith:
Domain Adaptation of Statistical Machine Translation using Web-Crawled Resources: A Case Study. EAMT 2012: 145-152 - [c83]Pratyush Banerjee, Sudip Kumar Naskar, Johann Roturier, Andy Way, Josef van Genabith:
Domain Adaptation in SMT of User-Generated Forum Content Guided by OOV Word Reduction: Normalization and/or Supplementary Data. EAMT 2012: 169-176 - [c82]Sandipan Dandapat, Sara Morrissey, Andy Way, Josef van Genabith:
Combining EBMT, SMT, TM and IR Technologies for Quality and Scale. ESIRMT/HyTra@EACL 2012: 48-58 - [c81]Khaled Shaalan, Mohammed Attia, Pavel Pecina, Younes Samih, Josef van Genabith:
Arabic Word Generation and Modelling for Spell Checking. LREC 2012: 719-725 - [c80]Teresa Lynn, Özlem Çetinoglu, Jennifer Foster, Elaine Uí Dhonnchadha, Mark Dras, Josef van Genabith:
Irish Treebanking and Parsing: A Preliminary Evaluation. LREC 2012: 1939-1946 - [c79]Mohammed Attia, Khaled Shaalan, Lamia Tounsi, Josef van Genabith:
Automatic Extraction and Evaluation of Arabic LFG Resources. LREC 2012: 1947-1954 - [c78]Eleftherios Avramidis, Marta R. Costa-jussà, Christian Federmann, Josef van Genabith, Maite Melero, Pavel Pecina:
A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation. LREC 2012: 2189-2193 - [c77]Christian Federmann, Eleftherios Avramidis, Marta R. Costa-jussà, Josef van Genabith, Maite Melero, Pavel Pecina:
The ML4HMT Workshop on Optimising the Division of Labour in Hybrid Machine Translation. LREC 2012: 3430-3435 - [c76]Junhui Li, Zhaopeng Tu, Guodong Zhou, Josef van Genabith:
Using Syntactic Head Information in Hierarchical Phrase-Based Translation. WMT@NAACL-HLT 2012: 232-242 - [e2]Josef van Genabith, Toni Badia, Christian Federmann, Maite Melero, Marta R. Costa-jussà, Tsuyoshi Okita:
Proceedings of the Second Workshop on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid MT@COLING 2012, Mumbai, India, December 25, 2012. The COLING 2012 Organizing Committee 2012 [contents] - 2011
- [j9]Yuqing Guo, Haifeng Wang, Josef van Genabith:
Dependency-based n-gram models for general purpose sentence realisation. Nat. Lang. Eng. 17(4): 455-483 (2011) - [c75]Jennifer Foster, Özlem Çetinoglu, Joachim Wagner, Joseph Le Roux, Stephen Hogan, Joakim Nivre, Deirdre Hogan, Josef van Genabith:
#hardtoparse: POS Tagging and Parsing the Twitterverse. Analyzing Microtext 2011 - [c74]Yanjun Ma, Yifan He, Andy Way, Josef van Genabith:
Consistent Translation using Discriminative Learning - A Translation Memory-inspired Approach. ACL 2011: 1239-1248 - [c73]Jon Dehdari, Lamia Tounsi, Josef van Genabith:
Morphological Features for Parsing Morphologically-rich Languages: A Case of Arabic. SPMRL@IWPT 2011: 12-21 - [c72]Iman Saleh, Lamia Tounsi, Josef van Genabith:
ZamAn and Raqm: Extracting Temporal and Numerical Expressions in Arabic. AIRS 2011: 562-573 - [c71]Yuqing Guo, Deirdre Hogan, Josef van Genabith:
DCU at Generation Challenges 2011 Surface Realisation Track. ENLG 2011: 227-229 - [c70]Mohammed Attia, Pavel Pecina, Antonio Toral, Lamia Tounsi, Josef van Genabith:
An Open-Source Finite State Morphological Transducer for Modern Standard Arabic. FSMNLP 2011: 125-133 - [c69]Jennifer Foster, Özlem Çetinoglu, Joachim Wagner, Joseph Le Roux, Joakim Nivre, Deirdre Hogan, Josef van Genabith:
From News to Comment: Resources and Benchmarks for Parsing the Language of Web 2.0. IJCNLP 2011: 893-901 - [c68]Jennifer Foster, Özlem Çetinoglu, Joachim Wagner, Josef van Genabith:
Comparing the Use of Edited and Unedited Text in Parser Self-Training. IWPT 2011: 215-219 - [c67]Pratyush Banerjee, Hala Almaghout, Sudip Kumar Naskar, Johann Roturier, Jie Jiang, Andy Way, Josef van Genabith:
The DCU machine translation systems for IWSLT 2011. IWSLT 2011: 41-48 - [c66]Pratyush Banerjee, Sudip Kumar Naskar, Johann Roturier, Andy Way, Josef van Genabith:
Domain Adaptation in Statistical Machine Translation of User-Forum Data using Component Level Mixture Modelling. MTSummit 2011 - [c65]Hanna Béchara, Yanjun Ma, Josef van Genabith:
Statistical Post-Editing for a Statistical MT System. MTSummit 2011 - [c64]Yifan He, Yanjun Ma, Andy Way, Josef van Genabith:
Rich Linguistic Features for Translation Memory-Inspired Consistent Translation. MTSummit 2011 - [c63]Deirdre Hogan, Jennifer Foster, Josef van Genabith:
Decreasing Lexical Data Sparsity in Statistical Syntactic Parsing - Experiments with Named Entities. MWE@ACL 2011: 14-19 - [c62]Mohammed Attia, Pavel Pecina, Antonio Toral, Lamia Tounsi, Josef van Genabith:
A Lexical Database for Modern Standard Arabic Interoperable with a Finite State Morphological Transducer. SFCM 2011: 98-118 - 2010
- [j8]Yuqing Guo, Haifeng Wang, Josef van Genabith:
A Linguistically Inspired Statistical Model for Chinese Punctuation Generation. ACM Trans. Asian Lang. Inf. Process. 9(2): 6:1-6:27 (2010) - [c61]Yifan He, Yanjun Ma, Josef van Genabith, Andy Way:
Bridging SMT and TM with Translation Recommendation. ACL 2010: 622-630 - [c60]Wolfgang Seeker, Ines Rehbein, Jonas Kuhn, Josef van Genabith:
Hard Constraints for Grammatical Function Labelling. ACL 2010: 1087-1097 - [c59]Mohammed Attia, Jennifer Foster, Deirdre Hogan, Joseph Le Roux, Lamia Tounsi, Josef van Genabith:
Handling Unknown Words in Statistical Latent-Variable Parsing Models for Arabic, English and French. SPMRL@NAACL-HLT 2010: 67-75 - [c58]Djamé Seddah, Grzegorz Chrupala, Özlem Çetinoglu, Josef van Genabith, Marie Candito:
Lemmatization and Lexicalized Statistical Parsing of Morphologically-Rich Languages: the Case of French. SPMRL@NAACL-HLT 2010: 85-93 - [c57]Pratyush Banerjee, Jinhua Du, Baoli Li, Sudip Kumar Naskar, Andy Way, Josef van Genabith:
Combining Multi-Domain Statistical Machine Translation Models using Automatic Classifiers. AMTA 2010 - [c56]Anton Bryl, Josef van Genabith:
f-align: An Open-Source Alignment Tool for LFG f-Structures. AMTA 2010 - [c55]Yifan He, Yanjun Ma, Johann Roturier, Andy Way, Josef van Genabith:
Improving the Post-Editing Experience using Translation Recommendation: A User Study. AMTA 2010 - [c54]Ventsislav Zhechev, Josef van Genabith:
Maximizing TM Performance through Sub-Tree Alignment and SMT. AMTA 2010 - [c53]Yifan He, Yanjun Ma, Andy Way, Josef van Genabith:
Integrating N-best SMT Outputs into a TM System. COLING (Posters) 2010: 374-382 - [c52]Anja Belz, Mike White, Josef van Genabith, Deirdre Hogan, Amanda Stent:
Finding Common Ground: Towards a Surface Realisation Shared Task. INLG 2010 - [c51]Yvette Graham, Josef van Genabith:
Factor templates for factored machine translation models. IWSLT 2010: 275-282 - [c50]Mohammed Attia, Antonio Toral, Lamia Tounsi, Monica Monachini, Josef van Genabith:
An Automatically Built Named Entity Lexicon for Arabic. LREC 2010 - [c49]Elaine Uí Dhonnchadha, Josef van Genabith:
Partial Dependency Parsing for Irish. LREC 2010 - [c48]Lamia Tounsi, Josef van Genabith:
Arabic Parsing Using Grammar Transforms. LREC 2010 - [c47]Mohammed Attia, Antonio Toral, Lamia Tounsi, Pavel Pecina, Josef van Genabith:
Automatic Extraction of Arabic Multiword Expressions. MWE@COLING 2010: 19-27 - [c46]Ventsislav Zhechev, Josef van Genabith:
Seeding Statistical Machine Translation with Translation Memory Output through Tree-Based Structural Alignment. SSST@COLING 2010: 43-51 - [c45]Yvette Graham, Josef van Genabith:
Deep Syntax Language Models and Statistical Machine Translation. SSST@COLING 2010: 118-126 - [c44]Yifan He, Jinhua Du, Andy Way, Josef van Genabith:
The DCU Dependency-Based Metric in WMT-MetricsMATR 2010. WMT@ACL 2010: 349-353
2000 – 2009
- 2009
- [j7]Yvette Graham, Josef van Genabith:
An Open Source Rule Induction Tool for Transfer-Based SMT. Prague Bull. Math. Linguistics 91: 37-46 (2009) - [c43]Lamia Tounsi, Mohammed Attia, Josef van Genabith:
Automatic Treebank-Based Acquisition of Arabic LFG Dependency Structures. SEMITIC@EACL 2009: 45-52 - [c42]Anton Bryl, Josef van Genabith, Yvette Graham:
Guessing the Grammatical Function of a Non-Root F-Structure in LFG. IWPT 2009: 146-149 - [c41]Natalie Schluter, Josef van Genabith:
Dependency Parsing Resources for French: Converting Acquired Lexical Functional Grammar F-Structure Annotations and Parsing F-Structures Directly. NODALIDA 2009: 166-173 - [c40]Rejwanul Haque, Sudip Kumar Naskar, Josef van Genabith, Andy Way:
Experiments on Domain Adaptation for English--Hindi SMT. PACLIC 2009: 670-677 - 2008
- [j6]Aoife Cahill, Michael Burke, Ruth O'Donovan, Stefan Riezler, Josef van Genabith, Andy Way:
Wide-Coverage Deep Statistical Parsing Using Automatic Dependency Structure Annotation. Comput. Linguistics 34(1): 81-124 (2008) - [c39]Jennifer Foster, Joachim Wagner, Josef van Genabith:
Adapting a WSJ-Trained Parser to Grammatically Noisy Text. ACL (2) 2008: 221-224 - [c38]Sisay Fissaha Adafre, Josef van Genabith:
Dublin City University at QA@CLEF 2008. CLEF 2008: 353-360 - [c37]Sisay Fissaha Adafre, Josef van Genabith:
Dublin City University at QA@CLEF 2008. CLEF (Working Notes) 2008 - [c36]Yuqing Guo, Josef van Genabith, Haifeng Wang:
Dependency-Based N-Gram Models for General Purpose Sentence Realisation. COLING 2008: 297-304 - [c35]Yvette Graham, Josef van Genabith:
Packed rules for automatic transfer-rule induction. EAMT 2008: 57-65 - [c34]Yuqing Guo, Haifeng Wang, Josef van Genabith:
Accurate and Robust LFG-Based Generation for Chinese. INLG 2008 - [c33]Deirdre Hogan, Jennifer Foster, Joachim Wagner, Josef van Genabith:
Parser-Based Retraining for Domain Adaptation of Probabilistic Generators. INLG 2008 - [c32]Grzegorz Chrupala, Georgiana Dinu, Josef van Genabith:
Learning Morphology with Morfette. LREC 2008 - [c31]Jennifer Foster, Josef van Genabith:
Parser Evaluation and the BNC: Evaluating 4 constituency parsers with 3 metrics. LREC 2008 - [c30]Natalie Schluter, Josef van Genabith:
Treebank-Based Acquisition of LFG Parsing Resources for French. LREC 2008 - [e1]Johan Bos, Edward John Briscoe, Aoife Cahill, John Carroll, Stephen Clark, Ann A. Copestake, Dan Flickinger, Josef van Genabith, Julia Hockenmaier, Aravind K. Joshi, Ronald M. Kaplan, Tracy Holloway King, Sandra Kübler, Dekang Lin, Jan Tore Lønning, Christopher D. Manning, Yusuke Miyao, Joakim Nivre, Stephan Oepen, Kenji Sagae, Nianwen Xue, Yi Zhang:
Proceedings of the workshop on Cross-Framework and Cross-Domain Parser Evaluation@COLING 2008, Manchester, UK, August 23, 2008. Coling 2008 Organizing Committee 2008, ISBN 978-1-905593-50-7 [contents] - 2007
- [j5]Karolina Owczarzak, Josef van Genabith, Andy Way:
Evaluating machine translation with LFG dependencies. Mach. Transl. 21(2): 95-119 (2007) - [c29]Joachim Wagner, Jennifer Foster, Josef van Genabith:
A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors. EMNLP-CoNLL 2007: 112-121 - [c28]Yuqing Guo, Haifeng Wang, Josef van Genabith:
Recovering Non-Local Dependencies for Chinese. EMNLP-CoNLL 2007: 257-266 - [c27]Deirdre Hogan, Conor Cafferkey, Aoife Cahill, Josef van Genabith:
Exploiting Multi-Word Units in History-Based Probabilistic Generation. EMNLP-CoNLL 2007: 267-276 - [c26]Ines Rehbein, Josef van Genabith:
Treebank Annotation Schemes and Parser Evaluation for German. EMNLP-CoNLL 2007: 630-639 - [c25]Jennifer Foster, Joachim Wagner, Djamé Seddah, Josef van Genabith:
Adapting WSJ-Trained Parsers to the British National Corpus using In-Domain Self-Training. IWPT 2007: 33-35 - [c24]Ines Rehbein, Josef van Genabith:
Evaluating Evaluation Measures. NODALIDA 2007: 372-379 - [c23]Masanori Oya, Josef van Genabith:
Automatic Acquisition of Lexical-Functional Grammar Resources from a Japanese Dependency Corpus. PACLIC 2007 - [c22]Karolina Owczarzak, Josef van Genabith, Andy Way:
Dependency-Based Automatic Evaluation for Machine Translation. SSST@HLT-NAACL 2007: 80-87 - [c21]Karolina Owczarzak, Josef van Genabith, Andy Way:
Labelled Dependencies in Machine Translation Evaluation. WMT@ACL 2007: 104-111 - 2006
- [c20]Aoife Cahill, Josef van Genabith:
Robust PCFG-Based Generation Using Automatically Acquired LFG Approximations. ACL 2006 - [c19]Grzegorz Chrupala, Josef van Genabith:
Using Machine-Learning to Assign Function Labels to Parser Output for Spanish. ACL 2006 - [c18]John Judge, Aoife Cahill, Josef van Genabith:
QuestionBank: Creating a Corpus of Parse-Annotated Questions. ACL 2006 - [c17]Bart Mellebeek, Karolina Owczarzak, Josef van Genabith, Andy Way:
Multi-Engine Machine Translation by Recursive Sentence Decomposition. AMTA 2006: 110-118 - [c16]Karolina Owczarzak, Bart Mellebeek, Declan Groves, Josef van Genabith, Andy Way:
Wrapper Syntax for Example-based Machine Translation. AMTA 2006: 148-155 - [c15]Bart Mellebeek, Karolina Owczarzak, Declan Groves, Josef van Genabith, Andy Way:
A Syntactic Skeleton for Statistical Machine Translation. EAMT 2006 - [c14]Elaine Uí Dhonnchadha, Josef van Genabith:
A Part-of-speech tagger for Irish using Finite-State Morphology and Constraint Grammar Disambiguation. LREC 2006: 2241-2244 - [c13]Karolina Owczarzak, Declan Groves, Josef van Genabith, Andy Way:
Contextual Bitext-Derived Paraphrases in Automatic MT Evaluation. WMT@HLT-NAACL 2006: 86-93 - 2005
- [j4]John D. Kelleher, Fintan J. Costello, Josef van Genabith:
Dynamically structuring, updating and interrelating representations of visual and linguistic discourse context. Artif. Intell. 167(1-2): 62-102 (2005) - [j3]Ruth O'Donovan, Michael Burke, Aoife Cahill, Josef van Genabith, Andy Way:
Large-Scale Induction and Evaluation of Lexical Resources from the Penn-II and Penn-III Treebanks. Comput. Linguistics 31(3): 329-366 (2005) - [c12]Bart Mellebeek, Anna Khasin, Josef van Genabith, Andy Way:
TransBooster: boosting the performance of wide-coverage machine translation systems. EAMT 2005 - [c11]Elaine Uí Dhonnchadha, Josef van Genabith:
Scaling an Irish FST Morphology Engine for Use on Unrestricted Text. FSMNLP 2005: 247-258 - [c10]Bart Mellebeek, Anna Khasin, Karolina Owczarzak, Josef van Genabith, Andy Way:
Improving Online Machine Translation Systems. MTSummit 2005: 290-297 - 2004
- [j2]John D. Kelleher, Josef van Genabith:
Visual Salience and Reference Resolution in Simulated 3-D Environments. Artif. Intell. Rev. 21(3-4): 253-267 (2004) - [c9]Aoife Cahill, Michael Burke, Ruth O'Donovan, Josef van Genabith, Andy Way:
Long-Distance Dependency Resolution in Automatically Acquired Wide-Coverage PCFG-Based LFG Approximations. ACL 2004: 319-326 - [c8]Ruth O'Donovan, Michael Burke, Aoife Cahill, Josef van Genabith, Andy Way:
Large-Scale Induction and Evaluation of Lexical Resources from the Penn-II Treebank. ACL 2004: 367-374 - [c7]John D. Kelleher, Josef van Genabith:
Exploiting Visual Salience for the Generation of Referring Expressions. FLAIRS 2004: 911-916 - [c6]Michael Burke, Olivia S.-C. Lam, Aoife Cahill, Rowena Chan, Ruth O'Donovan, Adams Bodomo, Josef van Genabith, Andy Way:
Treebank-Based Acquisition of a Chinese Lexical-Functional Grammar. PACLIC 2004 - 2003
- [j1]Elaine Uí Dhonnchadha, Caoilfhionn Nic Pháidín, Josef van Genabith:
Design, Implementation and Evaluation of an Inflectional Morphology Finite State Transducer for Irish. Mach. Transl. 18(3): 173-193 (2003) - 2002
- [c5]Aoife Cahill, Josef van Genabith:
TTS - A Treebank Tool Suite. LREC 2002
1990 – 1999
- 1998
- [c4]Michael Dorna, Anette Frank, Josef van Genabith, Martin C. Emele:
Syntactic and Semantic Transfer with F-Structures. COLING-ACL 1998: 341-347 - 1997
- [c3]Josef van Genabith, Richard S. Crouch:
On Interpreting F-Structures as UDRSs. ACL 1997: 402-409 - 1996
- [c2]Josef van Genabith, Dick Crouch:
Direct and Underspecified Interpretations of LFG f-structures. COLING 1996: 262-267 - 1993
- [c1]Doug Arnold, Toni Badia, Josef van Genabith, Stella Markantonatou, Stefan Momma, Louisa Sadler, Paul Schmidt:
Experiments in Reusability of Grammatical Resources. EACL 1993: 12-20
Coauthor Index
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