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2020 – today
- 2024
[j12]Jörg Tiedemann
, Mikko Aulamo, Daria Bakshandaeva, Michele Boggia, Stig-Arne Grönroos, Tommi Nieminen, Alessandro Raganato, Yves Scherrer, Raúl Vázquez, Sami Virpioja:
Democratizing neural machine translation with OPUS-MT. Lang. Resour. Evaluation 58(2): 713-755 (2024)- [c139]Ona de Gibert, Graeme Nail, Nikolay Arefyev, Marta Bañón, Jelmer van der Linde, Shaoxiong Ji, Jaume Zaragoza-Bernabeu, Mikko Aulamo, Gema Ramírez-Sánchez, Andrey Kutuzov, Sampo Pyysalo, Stephan Oepen, Jörg Tiedemann:
A New Massive Multilingual Dataset for High-Performance Language Technologies. LREC/COLING 2024: 1116-1128 - [c138]Shaoxiong Ji, Timothee Mickus, Vincent Segonne, Jörg Tiedemann:
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning? LREC/COLING 2024: 2809-2818 - [c137]Timothee Mickus, Stig-Arne Grönroos, Joseph Attieh, Michele Boggia, Ona de Gibert Bonet, Shaoxiong Ji, Niki A. Loppi, Alessandro Raganato, Raúl Vázquez, Jörg Tiedemann:
MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki. EACL (Demonstrations) 2024: 127-136 - [c136]Nikolay Arefyev, Mikko Aulamo, Pinzhen Chen, Ona De Gibert Bonet, Barry Haddow, Jindrich Helcl, Bhavitvya Malik, Gema Ramírez-Sánchez, Pavel Stepachev, Jörg Tiedemann, Dusan Varis, Jaume Zaragoza-Bernabeu:
HPLT's First Release of Data and Models. EAMT (2) 2024: 53-54 - [c135]Zihao Li, Shaoxiong Ji, Timothee Mickus, Vincent Segonne, Jörg Tiedemann:
A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives. EMNLP 2024: 15882-15894 - [c134]Timothee Mickus, Elaine Zosa, Raúl Vázquez, Teemu Vahtola, Jörg Tiedemann, Vincent Segonne, Alessandro Raganato, Marianna Apidianaki:
SemEval-2024 Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes. SemEval@NAACL 2024: 1979-1993 - [c133]Ona de Gibert, Mikko Aulamo, Yves Scherrer, Jörg Tiedemann:
Hybrid Distillation from RBMT and NMT: Helsinki-NLP's Submission to the Shared Task on Translation into Low-Resource Languages of Spain. WMT 2024: 908-917 - [i34]Peiqin Lin, Shaoxiong Ji, Jörg Tiedemann, André F. T. Martins, Hinrich Schütze:
MaLA-500: Massive Language Adaptation of Large Language Models. CoRR abs/2401.13303 (2024) - [i33]Timothee Mickus, Stig-Arne Grönroos, Joseph Attieh, Michele Boggia, Ona de Gibert, Shaoxiong Ji, Niki Andreas Lopi, Alessandro Raganato, Raúl Vázquez, Jörg Tiedemann:
MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki. CoRR abs/2403.07544 (2024) - [i32]Timothee Mickus, Elaine Zosa, Raúl Vázquez, Teemu Vahtola, Jörg Tiedemann, Vincent Segonne, Alessandro Raganato, Marianna Apidianaki:
SemEval-2024 Shared Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes. CoRR abs/2403.07726 (2024) - [i31]Ona de Gibert, Graeme Nail, Nikolay Arefyev, Marta Bañón, Jelmer van der Linde, Shaoxiong Ji, Jaume Zaragoza-Bernabeu, Mikko Aulamo, Gema Ramírez-Sánchez, Andrey Kutuzov, Sampo Pyysalo, Stephan Oepen, Jörg Tiedemann:
A New Massive Multilingual Dataset for High-Performance Language Technologies. CoRR abs/2403.14009 (2024) - [i30]Shaoxiong Ji, Timothee Mickus, Vincent Segonne, Jörg Tiedemann:
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning? CoRR abs/2403.16777 (2024) - [i29]Zihao Li, Shaoxiong Ji, Timothee Mickus, Vincent Segonne, Jörg Tiedemann:
Two Stacks Are Better Than One: A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives. CoRR abs/2407.15489 (2024) - 2023
- [c132]Jörg Tiedemann, Ona de Gibert:
The OPUS-MT Dashboard - A Toolkit for a Systematic Evaluation of Open Machine Translation Models. ACL (demo) 2023: 315-327 - [c131]Mikko Aulamo, Ona de Gibert, Sami Virpioja, Jörg Tiedemann:
Unsupervised Feature Selection for Effective Parallel Corpus Filtering. EAMT 2023: 31-38 - [c130]Mikko Aulamo, Nikolay Bogoychev, Shaoxiong Ji, Graeme Nail, Gema Ramírez-Sánchez, Jörg Tiedemann, Jelmer van der Linde, Jaume Zaragoza:
HPLT: High Performance Language Technologies. EAMT 2023: 517-518 - [c129]Michele Boggia, Stig-Arne Grönroos, Niki A. Loppi, Timothee Mickus, Alessandro Raganato, Jörg Tiedemann, Raúl Vázquez:
Dozens of Translation Directions or Millions of Shared Parameters? Comparing Two Types of Multilinguality in Modular Machine Translation. NoDaLiDa 2023: 238-247 - [c128]Aarne Talman, Hande Çelikkanat, Sami Virpioja, Markus Heinonen, Jörg Tiedemann:
Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging. NoDaLiDa 2023: 358-365 - [c127]Teemu Vahtola, Mathias Creutz, Jörg Tiedemann:
Guiding Zero-Shot Paraphrase Generation with Fine-Grained Control Tokens. *SEM@ACL 2023: 323-337 - [e11]Yves Scherrer, Tommi Jauhiainen, Nikola Ljubesic, Preslav Nakov, Jörg Tiedemann, Marcos Zampieri:
Tenth Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial@EACL 2023, Dubrovnik, Croatia, May 5, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-50-0 [contents] - [i28]Aarne Talman, Hande Çelikkanat, Sami Virpioja, Markus Heinonen, Jörg Tiedemann:
Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging. CoRR abs/2304.04726 (2023) - [i27]Shaoxiong Ji, Tianlin Zhang, Kailai Yang, Sophia Ananiadou, Erik Cambria, Jörg Tiedemann:
Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health. CoRR abs/2304.10447 (2023) - 2022
- [c126]Teemu Vahtola, Mathias Creutz, Jörg Tiedemann:
It Is Not Easy To Detect Paraphrases: Analysing Semantic Similarity With Antonyms and Negation Using the New SemAntoNeg Benchmark. BlackboxNLP@EMNLP 2022: 249-262 - [c125]Raúl Vázquez, Hande Çelikkanat, Vinit Ravishankar, Mathias Creutz, Jörg Tiedemann:
A Closer Look at Parameter Contributions When Training Neural Language and Translation Models. COLING 2022: 4788-4800 - [c124]Khalid Alnajjar, Mika Hämäläinen, Jörg Tiedemann, Jorma Laaksonen, Mikko Kurimo:
When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and Its Intensity. COLING 2022: 6875-6886 - [c123]Raúl Vázquez, Michele Boggia, Alessandro Raganato, Niki A. Loppi, Stig-Arne Grönroos, Jörg Tiedemann:
Latest Development in the FoTran Project - Scaling Up Language Coverage in Neural Machine Translation Using Distributed Training with Language-Specific Components. EAMT 2022: 309-310 - [c122]Teemu Vahtola, Eetu Sjöblom, Jörg Tiedemann, Mathias Creutz:
Modeling Noise in Paraphrase Detection. LREC 2022: 4324-4332 - [c121]Sami Itkonen, Jörg Tiedemann, Mathias Creutz:
Helsinki-NLP at SemEval-2022 Task 2: A Feature-Based Approach to Multilingual Idiomaticity Detection. SemEval@NAACL 2022: 122-134 - [c120]Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann:
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets. *SEM@NAACL-HLT 2022: 226-233 - [i26]Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann:
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets. CoRR abs/2201.04467 (2022) - [i25]Khalid Alnajjar, Mika Hämäläinen, Jörg Tiedemann, Jorma Laaksonen, Mikko Kurimo:
When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and its Intensity. CoRR abs/2211.01889 (2022) - [i24]Jörg Tiedemann, Mikko Aulamo, Daria Bakshandaeva, Michele Boggia, Stig-Arne Grönroos, Tommi Nieminen, Alessandro Raganato, Yves Scherrer, Raúl Vázquez, Sami Virpioja:
Democratizing Machine Translation with OPUS-MT. CoRR abs/2212.01936 (2022) - 2021
- [c119]Raúl Vázquez, Hande Çelikkanat, Mathias Creutz, Jörg Tiedemann:
On the differences between BERT and MT encoder spaces and how to address them in translation tasks. ACL (student) 2021: 337-347 - [c118]Alessandro Raganato, Raúl Vázquez, Mathias Creutz, Jörg Tiedemann:
An Empirical Investigation of Word Alignment Supervision for Zero-Shot Multilingual Neural Machine Translation. EMNLP (1) 2021: 8449-8456 - [c117]Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann:
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance. NoDaLiDa 2021: 276-287 - [c116]Mikko Aulamo, Sami Virpioja, Yves Scherrer, Jörg Tiedemann:
Boosting Neural Machine Translation from Finnish to Northern Sámi with Rule-Based Backtranslation. NoDaLiDa 2021: 351-356 - [e10]Paola Merlo, Jörg Tiedemann, Reut Tsarfaty:
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, EACL 2021, Online, April 19 - 23, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-02-2 [contents] - [e9]Marcos Zampieri, Preslav Nakov, Nikola Ljubesic, Jörg Tiedemann, Yves Scherrer, Tommi Jauhiainen:
Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial@EACL 2021, Kiyv, Ukraine, April 20, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-12-1 [contents] - [i23]Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann:
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance. CoRR abs/2104.04751 (2021) - [i22]Jörg Tiedemann, Preslav Nakov:
Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets. CoRR abs/2109.13723 (2021) - 2020
- [j11]Raúl Vázquez, Alessandro Raganato, Mathias Creutz, Jörg Tiedemann:
A Systematic Study of Inner-Attention-Based Sentence Representations in Multilingual Neural Machine Translation. Comput. Linguistics 46(2): 387-424 (2020) - [j10]Umut Sulubacak, Ozan Caglayan, Stig-Arne Grönroos, Aku Rouhe, Desmond Elliott, Lucia Specia, Jörg Tiedemann:
Multimodal machine translation through visuals and speech. Mach. Transl. 34(2-3): 97-147 (2020) - [j9]David Marecek, Hande Çelikkanat, Miikka Silfverberg, Vinit Ravishankar, Jörg Tiedemann:
Are Multilingual Neural Machine Translation Models Better at Capturing Linguistic Features? Prague Bull. Math. Linguistics 115: 143-162 (2020) - [c115]Mikko Aulamo, Sami Virpioja, Jörg Tiedemann:
OpusFilter: A Configurable Parallel Corpus Filtering Toolbox. ACL (demo) 2020: 150-156 - [c114]Anna Dmitrieva, Jörg Tiedemann:
A Multi-task Learning Approach to Text Simplification. AIST (Supplement) 2020: 78-89 - [c113]Maarit Koponen, Umut Sulubacak, Kaisa Vitikainen, Jörg Tiedemann:
MT for Subtitling: Investigating professional translators' user experience and feedback. PEMDT@AMTA 2020: 79-92 - [c112]Hande Çelikkanat, Sami Virpioja, Jörg Tiedemann, Marianna Apidianaki:
Controlling the Imprint of Passivization and Negation in Contextualized Representations. BlackboxNLP@EMNLP 2020: 136-148 - [c111]Emily Öhman, Marc Pàmies, Kaisla Kajava, Jörg Tiedemann:
XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection. COLING 2020: 6542-6552 - [c110]Kaisla Kajava, Emily Öhman, Hui Piao, Jörg Tiedemann:
Emotion Preservation in Translation: Evaluating Datasets for Annotation Projection. DHN 2020: 38-50 - [c109]Maarit Koponen, Umut Sulubacak, Kaisa Vitikainen, Jörg Tiedemann:
MT for subtitling: User evaluation of post-editing productivity. EAMT 2020: 115-124 - [c108]Jörg Tiedemann, Santhosh Thottingal:
OPUS-MT - Building open translation services for the World. EAMT 2020: 479-480 - [c107]Alessandro Raganato, Yves Scherrer, Jörg Tiedemann:
Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation. EMNLP (Findings) 2020: 556-568 - [c106]Raúl Vázquez, Mikko Aulamo, Umut Sulubacak, Jörg Tiedemann:
The University of Helsinki Submission to the IWSLT2020 Offline SpeechTranslation Task. IWSLT 2020: 95-102 - [c105]Alessandro Raganato, Yves Scherrer, Jörg Tiedemann:
An Evaluation Benchmark for Testing the Word Sense Disambiguation Capabilities of Machine Translation Systems. LREC 2020: 3668-3675 - [c104]Mikko Aulamo, Umut Sulubacak, Sami Virpioja, Jörg Tiedemann:
OpusTools and Parallel Corpus Diagnostics. LREC 2020: 3782-3789 - [c103]Jörg Tiedemann, Tommi Nieminen, Mikko Aulamo, Jenna Kanerva, Akseli Leino, Filip Ginter, Niko Papula:
The FISKMÖ Project: Resources and Tools for Finnish-Swedish Machine Translation and Cross-Linguistic Research. LREC 2020: 3808-3815 - [c102]Marc Pàmies, Emily Öhman, Kaisla Kajava, Jörg Tiedemann:
LT@Helsinki at SemEval-2020 Task 12: Multilingual or Language-specific BERT? SemEval@COLING 2020: 1569-1575 - [c101]Janine Siewert, Yves Scherrer, Martijn Wieling, Jörg Tiedemann:
LSDC - A comprehensive dataset for Low Saxon Dialect Classification. VarDial@COLING 2020: 25-35 - [c100]Yves Scherrer, Alessandro Raganato, Jörg Tiedemann:
The MUCOW word sense disambiguation test suite at WMT 2020. WMT@EMNLP 2020: 365-370 - [c99]Jörg Tiedemann:
The Tatoeba Translation Challenge - Realistic Data Sets for Low Resource and Multilingual MT. WMT@EMNLP 2020: 1174-1182 - [e8]Marcos Zampieri, Preslav Nakov, Nikola Ljubesic, Jörg Tiedemann, Yves Scherrer:
Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial@COLING 2020, Barcelona, Spain (Online), December 13, 2020. International Committee on Computational Linguistics (ICCL) 2020, ISBN 978-1-952148-47-7 [contents] - [i21]Alessandro Raganato, Yves Scherrer, Jörg Tiedemann:
Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation. CoRR abs/2002.10260 (2020) - [i20]Marc Pàmies, Emily Öhman, Kaisla Kajava, Jörg Tiedemann:
LT@Helsinki at SemEval-2020 Task 12: Multilingual or language-specific BERT? CoRR abs/2008.00805 (2020) - [i19]Jörg Tiedemann:
The Tatoeba Translation Challenge - Realistic Data Sets for Low Resource and Multilingual MT. CoRR abs/2010.06354 (2020) - [i18]Emily Öhman, Marc Pàmies, Kaisla Kajava, Jörg Tiedemann:
XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection. CoRR abs/2011.01612 (2020)
2010 – 2019
- 2019
- [j8]Johannes Bjerva, Robert Östling, Maria Han Veiga, Jörg Tiedemann, Isabelle Augenstein:
What Do Language Representations Really Represent? Comput. Linguistics 45(2): 381-389 (2019) - [j7]Aarne Talman, Anssi Yli-Jyrä, Jörg Tiedemann:
Sentence embeddings in NLI with iterative refinement encoders. Nat. Lang. Eng. 25(4): 467-482 (2019) - [c98]Yves Scherrer, Jörg Tiedemann, Sharid Loáiciga:
Analysing concatenation approaches to document-level NMT in two different domains. DiscoMT@EMNLP 2019: 51-61 - [c97]Mika Hämäläinen, Tanja Säily, Jack Rueter, Jörg Tiedemann, Eetu Mäkelä:
Revisiting NMT for Normalization of Early English Letters. LaTeCH@NAACL-HLT 2019: 71-75 - [c96]Aarne Talman, Antti Suni, Hande Çelikkanat, Sofoklis Kakouros, Jörg Tiedemann, Martti Vainio:
Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations. NODALIDA 2019: 281-290 - [c95]Mikko Aulamo, Jörg Tiedemann:
The OPUS Resource Repository: An Open Package for Creating Parallel Corpora and Machine Translation Services. NODALIDA 2019: 389-394 - [c94]Alessandro Raganato, Raúl Vázquez, Mathias Creutz, Jörg Tiedemann:
An Evaluation of Language-Agnostic Inner-Attention-Based Representations in Machine Translation. RepL4NLP@ACL 2019: 27-32 - [c93]Raúl Vázquez, Alessandro Raganato, Jörg Tiedemann, Mathias Creutz:
Multilingual NMT with a Language-Independent Attention Bridge. RepL4NLP@ACL 2019: 33-39 - [c92]Raúl Vázquez, Umut Sulubacak, Jörg Tiedemann:
The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task. WMT (3) 2019: 294-300 - [c91]Aarne Talman, Umut Sulubacak, Raúl Vázquez, Yves Scherrer, Sami Virpioja, Alessandro Raganato, Arvi Hurskainen, Jörg Tiedemann:
The University of Helsinki Submissions to the WMT19 News Translation Task. WMT (2) 2019: 412-423 - [c90]Alessandro Raganato, Yves Scherrer, Jörg Tiedemann:
The MuCoW Test Suite at WMT 2019: Automatically Harvested Multilingual Contrastive Word Sense Disambiguation Test Sets for Machine Translation. WMT (2) 2019: 470-480 - [i17]Johannes Bjerva, Robert Östling, Maria Han Veiga, Jörg Tiedemann, Isabelle Augenstein:
What do Language Representations Really Represent? CoRR abs/1901.02646 (2019) - [i16]Aarne Talman, Umut Sulubacak, Raúl Vázquez, Yves Scherrer, Sami Virpioja, Alessandro Raganato, Arvi Hurskainen, Jörg Tiedemann:
The University of Helsinki submissions to the WMT19 news translation task. CoRR abs/1906.04040 (2019) - [i15]Aarne Talman, Antti Suni, Hande Çelikkanat, Sofoklis Kakouros, Jörg Tiedemann, Martti Vainio:
Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations. CoRR abs/1908.02262 (2019) - [i14]Liane Guillou, Christian Hardmeier, Preslav Nakov, Sara Stymne, Jörg Tiedemann, Yannick Versley, Mauro Cettolo, Bonnie Webber, Andrei Popescu-Belis:
Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction. CoRR abs/1911.12091 (2019) - [i13]Umut Sulubacak, Ozan Caglayan, Stig-Arne Grönroos, Aku Rouhe, Desmond Elliott, Lucia Specia, Jörg Tiedemann:
Multimodal Machine Translation through Visuals and Speech. CoRR abs/1911.12798 (2019) - 2018
- [j6]Claudia Ehrentraut, Markus Ekholm, Hideyuki Tanushi, Jörg Tiedemann, Hercules Dalianis:
Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting. Health Informatics J. 24(1): 24-42 (2018) - [c89]Jörg Tiedemann:
Emerging Language Spaces Learned From Massively Multilingual Corpora. DHN 2018: 188-197 - [c88]Alessandro Raganato, Jörg Tiedemann:
An Analysis of Encoder Representations in Transformer-Based Machine Translation. BlackboxNLP@EMNLP 2018: 287-297 - [c87]Umut Sulubacak, Jörg Tiedemann, Aku Rouhe, Stig-Arne Grönroos, Mikko Kurimo:
The MeMAD Submission to the IWSLT 2018 Speech Translation Task. IWSLT 2018: 89-94 - [c86]Mika Hämäläinen, Tanja Säily, Jack Rueter, Jörg Tiedemann, Eetu Mäkelä:
Normalizing Early English Letters to Present-day English Spelling. LaTeCH@COLING 2018: 87-96 - [c85]Pierre Lison, Jörg Tiedemann, Milen Kouylekov:
OpenSubtitles2018: Statistical Rescoring of Sentence Alignments in Large, Noisy Parallel Corpora. LREC 2018 - [c84]Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Ahmed Ali, Suwon Shon, James R. Glass, Yves Scherrer, Tanja Samardzic, Nikola Ljubesic, Jörg Tiedemann, Chris van der Lee, Stefan Grondelaers, Nelleke Oostdijk, Dirk Speelman, Antal van den Bosch, Ritesh Kumar, Bornini Lahiri, Mayank Jain:
Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign. VarDial@COLING 2018 2018: 1-17 - [c83]Emily Öhman, Kaisla Kajava, Jörg Tiedemann, Timo Honkela:
Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation. WASSA@EMNLP 2018: 24-30 - [c82]Alessandro Raganato, Yves Scherrer, Tommi Nieminen, Arvi Hurskainen, Jörg Tiedemann:
The University of Helsinki submissions to the WMT18 news task. WMT (shared task) 2018: 488-495 - [c81]Stig-Arne Grönroos, Benoit Huet, Mikko Kurimo, Jorma Laaksonen, Bernard Mérialdo, Phu Pham, Mats Sjöberg, Umut Sulubacak, Jörg Tiedemann, Raphaël Troncy, Raúl Vázquez:
The MeMAD Submission to the WMT18 Multimodal Translation Task. WMT (shared task) 2018: 603-611 - [e7]Marcos Zampieri, Preslav Nakov, Nikola Ljubesic, Jörg Tiedemann, Shervin Malmasi, Ahmed Ali:
Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial@COLING 2018, Santa Fe, New Mexico, USA, August 20, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-55-1 [contents] - [i12]Jörg Tiedemann:
Emerging Language Spaces Learned From Massively Multilingual Corpora. CoRR abs/1802.00273 (2018) - [i11]Jörg Tiedemann, Yves Scherrer:
Translational Grounding: Using Paraphrase Recognition and Generation to Demonstrate Semantic Abstraction Abilities of MultiLingual NMT. CoRR abs/1808.06826 (2018) - [i10]Aarne Talman, Anssi Yli-Jyrä, Jörg Tiedemann:
Natural Language Inference with Hierarchical BiLSTM Max Pooling Architecture. CoRR abs/1808.08762 (2018) - [i9]Stig-Arne Grönroos, Benoit Huet, Mikko Kurimo, Jorma Laaksonen, Bernard Mérialdo, Phu Pham, Mats Sjöberg, Umut Sulubacak, Jörg Tiedemann, Raphaël Troncy, Raúl Vázquez:
The MeMAD Submission to the WMT18 Multimodal Translation Task. CoRR abs/1808.10802 (2018) - [i8]Umut Sulubacak, Jörg Tiedemann, Aku Rouhe, Stig-Arne Grönroos, Mikko Kurimo:
The MeMAD Submission to the IWSLT 2018 Speech Translation Task. CoRR abs/1810.10320 (2018) - [i7]Raúl Vázquez, Alessandro Raganato, Jörg Tiedemann, Mathias Creutz:
Multilingual NMT with a language-independent attention bridge. CoRR abs/1811.00498 (2018) - 2017
- [j5]Gideon Kotzé, Vincent Vandeghinste, Scott Martens, Jörg Tiedemann:
Large aligned treebanks for syntax-based machine translation. Lang. Resour. Evaluation 51(2): 249-282 (2017) - [c80]Sharid Loáiciga, Sara Stymne, Preslav Nakov, Christian Hardmeier, Jörg Tiedemann, Mauro Cettolo, Yannick Versley:
Findings of the 2017 DiscoMT Shared Task on Cross-lingual Pronoun Prediction. DiscoMT@EMNLP 2017: 1-16 - [c79]Jörg Tiedemann, Yves Scherrer:
Neural Machine Translation with Extended Context. DiscoMT@EMNLP 2017: 82-92 - [c78]Robert Östling, Jörg Tiedemann:
Continuous multilinguality with language vectors. EACL (2) 2017: 644-649 - [c77]Yan Shao, Christian Hardmeier, Jörg Tiedemann, Joakim Nivre:
Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF. IJCNLP(1) 2017: 173-183 - [c76]Marcos Zampieri, Shervin Malmasi, Nikola Ljubesic, Preslav Nakov, Ahmed Ali, Jörg Tiedemann, Yves Scherrer, Noëmi Aepli:
Findings of the VarDial Evaluation Campaign 2017. VarDial 2017: 1-15 - [c75]Jörg Tiedemann:
Cross-lingual dependency parsing for closely related languages - Helsinki's submission to VarDial 2017. VarDial 2017: 131-136 - [c74]Arvi Hurskainen, Jörg Tiedemann:
Rule-based Machine translation from English to Finnish. WMT 2017: 323-329 - [c73]Robert Östling, Yves Scherrer, Jörg Tiedemann, Gongbo Tang, Tommi Nieminen:
The Helsinki Neural Machine Translation System. WMT 2017: 338-347 - [e6]Bonnie L. Webber, Andrei Popescu-Belis, Jörg Tiedemann:
Proceedings of the Third Workshop on Discourse in Machine Translation, DiscoMT@EMNLP 2017, Copenhagen, Denmark, September 8, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-87-6 [contents] - [e5]Jörg Tiedemann, Nina Tahmasebi:
Proceedings of the 21st Nordic Conference on Computational Linguistics, NODALIDA 2017, Gothenburg, Sweden, May 22-24, 2017. Linköping Electronic Conference Proceedings 131, Linköping University Electronic Press / Association for Computational Linguistics 2017, ISBN 978-91-7685-601-7 [contents] - [e4]Preslav Nakov, Marcos Zampieri, Nikola Ljubesic, Jörg Tiedemann, Shervin Malmasi, Ahmed Ali:
Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial 2017, Valencia, Spain, April 3, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-43-2 [contents] - [i6]Yan Shao, Christian Hardmeier, Jörg Tiedemann, Joakim Nivre:
Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF. CoRR abs/1704.01314 (2017) - [i5]Jörg Tiedemann:
Cross-Lingual Dependency Parsing for Closely Related Languages - Helsinki's Submission to VarDial 2017. CoRR abs/1708.05719 (2017) - [i4]Robert Östling, Jörg Tiedemann:
Neural machine translation for low-resource languages. CoRR abs/1708.05729 (2017) - [i3]Robert Östling, Yves Scherrer, Jörg Tiedemann, Gongbo Tang, Tommi Nieminen:
The Helsinki Neural Machine Translation System. CoRR abs/1708.05942 (2017) - [i2]Jörg Tiedemann, Yves Scherrer:
Neural Machine Translation with Extended Context. CoRR abs/1708.05943 (2017) - 2016
- [j4]Jörg Tiedemann, Zeljko Agic:
Synthetic Treebanking for Cross-Lingual Dependency Parsing. J. Artif. Intell. Res. 55: 209-248 (2016) - [j3]Robert Östling, Jörg Tiedemann:
Efficient Word Alignment with Markov Chain Monte Carlo. Prague Bull. Math. Linguistics 106: 125-146 (2016) - [c72]Emily Öhman, Timo Honkela, Jörg Tiedemann:
The Challenges of Multi-dimensional Sentiment Analysis Across Languages. PEOPLES@COLING 2016: 138-142 - [c71]Aaron Smith, Christian Hardmeier, Jörg Tiedemann:
Climbing Mont BLEU: The Strange World of Reachable High-BLEU Translations. EAMT 2016: 269-281 - [c70]Jörg Tiedemann:
OPUS - parallel corpora for everyone. EAMT (Projects/Products) 2016 - [c69]Pierre Lison, Jörg Tiedemann:
OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles. LREC 2016 - [c68]Jörg Tiedemann:
Finding Alternative Translations in a Large Corpus of Movie Subtitle. LREC 2016 - [c67]Jörg Tiedemann, Johanna Nichols, Ronald Sprouse:
Tagging Ingush - Language Technology For Low-Resource Languages Using Resources From Linguistic Field Work. LT4DH@COLING 2016: 148-155 - [c66]Shervin Malmasi, Marcos Zampieri, Nikola Ljubesic, Preslav Nakov, Ahmed Ali, Jörg Tiedemann:
Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared Task. VarDial@COLING 2016: 1-14 - [c65]Jörg Tiedemann, Fabienne Cap, Jenna Kanerva, Filip Ginter, Sara Stymne, Robert Östling, Marion Weller-Di Marco:
Phrase-Based SMT for Finnish with More Data, Better Models and Alternative Alignment and Translation Tools. WMT 2016: 391-398 - [c64]Liane Guillou, Christian Hardmeier, Preslav Nakov, Sara Stymne, Jörg Tiedemann, Yannick Versley, Mauro Cettolo, Bonnie L. Webber, Andrei Popescu-Belis:
Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction. WMT 2016: 525-542 - [c63]Jörg Tiedemann:
A Linear Baseline Classifier for Cross-Lingual Pronoun Prediction. WMT 2016: 616-619 - [e3]Preslav Nakov, Marcos Zampieri, Liling Tan, Nikola Ljubesic, Jörg Tiedemann, Shervin Malmasi:
Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial@COLING 2016, Osaka, Japan, December 12, 2016. The COLING 2016 Organizing Committee 2016, ISBN 978-4-87974-716-7 [contents] - [i1]Robert Östling, Jörg Tiedemann:
Continuous multilinguality with language vectors. CoRR abs/1612.07486 (2016) - 2015
- [c62]Yan Shao, Jörg Tiedemann, Joakim Nivre:
Boosting English-Chinese Machine Transliteration via High Quality Alignment and Multilingual Resources. NEWS@ACL 2015: 56-60 - [c61]Jörg Tiedemann:
Cross-Lingual Dependency Parsing with Universal Dependencies and Predicted PoS Labels. DepLing 2015: 340-349 - [c60]Christian Hardmeier, Preslav Nakov, Sara Stymne, Jörg Tiedemann, Yannick Versley, Mauro Cettolo:
Pronoun-Focused MT and Cross-Lingual Pronoun Prediction: Findings of the 2015 DiscoMT Shared Task on Pronoun Translation. DiscoMT@EMNLP 2015: 1-16 - [c59]Jimmy Callin, Christian Hardmeier, Jörg Tiedemann:
Part-of-Speech Driven Cross-Lingual Pronoun Prediction with Feed-Forward Neural Networks. DiscoMT@EMNLP 2015: 59-64 - [c58]Jörg Tiedemann:
Baseline Models for Pronoun Prediction and Pronoun-Aware Translation. DiscoMT@EMNLP 2015: 108-114 - [c57]Jörg Tiedemann:
Improving the Cross-Lingual Projection of Syntactic Dependencies. NODALIDA 2015: 191-199 - [c56]Jörg Tiedemann, Filip Ginter, Jenna Kanerva:
Morphological Segmentation and OPUS for Finnish-English Machine Translation. WMT@EMNLP 2015: 177-183 - 2014
- [c55]Jörg Tiedemann:
Improved Text Extraction from PDF Documents for Large-Scale Natural Language Processing. CICLing (1) 2014: 102-112 - [c54]Jörg Tiedemann:
Rediscovering Annotation Projection for Cross-Lingual Parser Induction. COLING 2014: 1854-1864 - [c53]Jörg Tiedemann, Zeljko Agic, Joakim Nivre:
Treebank Translation for Cross-Lingual Parser Induction. CoNLL 2014: 130-140 - [c52]Raivis Skadins, Jörg Tiedemann, Roberts Rozis, Daiga Deksne:
Billions of Parallel Words for Free: Building and Using the EU Bookshop Corpus. LREC 2014: 1850-1855 - [c51]Liane Guillou, Christian Hardmeier, Aaron Smith, Jörg Tiedemann, Bonnie L. Webber:
ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT. LREC 2014: 3191-3198 - [c50]Eva Martínez Garcia, Jörg Tiedemann, Cristina España-Bonet, Lluís Màrquez:
Word's Vector Representations meet Machine Translation. SSST@EMNLP 2014: 132-134 - [c49]Marcos Zampieri, Liling Tan, Nikola Ljubesic, Jörg Tiedemann:
A Report on the DSL Shared Task 2014. VarDial@COLING 2014: 58-67 - [c48]Christian Hardmeier, Sara Stymne, Jörg Tiedemann, Aaron Smith, Joakim Nivre:
Anaphora Models and Reordering for Phrase-Based SMT. WMT@ACL 2014: 122-129 - [c47]Sara Stymne, Jörg Tiedemann, Joakim Nivre:
Estimating Word Alignment Quality for SMT Reordering Tasks. WMT@ACL 2014: 275-286 - [e2]Marcos Zampieri, Liling Tan, Nikola Ljubesic, Jörg Tiedemann:
Proceedings of the First Workshop on Applying NLP Tools to Similar Languages, Varieties and Dialects, VarDial@COLING 2014, Dublin, Ireland, August 23, 2014. Association for Computational Linguistics and Dublin City University 2014, ISBN 978-1-873769-39-3 [contents] - 2013
- [j2]Jörg Tiedemann:
Markus Dickinson, Chris Brew and Detmar Meurers: Language and Computers - Wiley-Blackwell, 2013, ISBN: 978-1 4051 8305 5, xviii $$+$$ + 232 pp. Mach. Transl. 27(3-4): 309-312 (2013) - [c46]Christian Hardmeier, Sara Stymne, Jörg Tiedemann, Joakim Nivre:
Docent: A Document-Level Decoder for Phrase-Based Statistical Machine Translation. ACL (Conference System Demonstrations) 2013: 193-198 - [c45]Sara Stymne, Christian Hardmeier, Jörg Tiedemann, Joakim Nivre:
Feature Weight Optimization for Discourse-Level SMT. DiscoMT@ACL 2013: 60-69 - [c44]Christian Hardmeier, Jörg Tiedemann, Joakim Nivre:
Latent Anaphora Resolution for Cross-Lingual Pronoun Prediction. EMNLP 2013: 380-391 - [c43]Jörg Tiedemann:
Experiences in Building the Let's MT! Portal on Amazon EC2. NODALIDA 2013: 11 - [c42]Sara Stymne, Jörg Tiedemann, Christian Hardmeier, Joakim Nivre:
Statistical Machine Translation with Readability Constraints. NODALIDA 2013: 375-386 - [c41]Jörg Tiedemann, Preslav Nakov:
Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets. RANLP 2013: 676-684 - [c40]Sara Stymne, Christian Hardmeier, Jörg Tiedemann, Joakim Nivre:
Tunable Distortion Limits and Corpus Cleaning for SMT. WMT@ACL 2013: 225-231 - [p3]Vincent Vandeghinste, Scott Martens, Gideon Kotzé, Jörg Tiedemann, Joachim Van den Bogaert, Koen De Smet, Frank Van Eynde, Gertjan van Noord:
Parse and Corpus-Based Machine Translation. Essential Speech and Language Technology for Dutch 2013: 305-319 - [e1]Bonnie Nash-Webber, Andrei Popescu-Belis, Katja Markert, Jörg Tiedemann:
Proceedings of the Workshop on Discourse in Machine Translation, DiscoMT@ACL 2013, Sofia, Bulgaria, August 9, 2013. Association for Computational Linguistics 2013, ISBN 978-1-937284-68-8 [contents] - 2012
- [c39]Andrejs Vasiljevs, Raivis Skadins, Jörg Tiedemann:
LetsMT!: Cloud-Based Platform for Do-It-Yourself Machine Translation. ACL (System Demonstrations) 2012: 43-48 - [c38]Preslav Nakov, Jörg Tiedemann:
Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages. ACL (2) 2012: 301-305 - [c37]Jörg Tiedemann, Nikola Ljubesic:
Efficient Discrimination Between Closely Related Languages. COLING 2012: 2619-2634 - [c36]Jörg Tiedemann:
Character-Based Pivot Translation for Under-Resourced Languages and Domains. EACL 2012: 141-151 - [c35]Christian Hardmeier, Joakim Nivre, Jörg Tiedemann:
Document-Wide Decoding for Phrase-Based Statistical Machine Translation. EMNLP-CoNLL 2012: 1179-1190 - [c34]Gideon Kotzé, Vincent Vandeghinste, Scott Martens, Jörg Tiedemann:
Large aligned treebanks for syntax-based machine translation. LREC 2012: 467-473 - [c33]Jörg Tiedemann, Dorte Haltrup Hansen, Lene Offersgaard, Sussi Olsen, Matthias Zumpe:
A Distributed Resource Repository for Cloud-Based Machine Translation. LREC 2012: 2207-2213 - [c32]Jörg Tiedemann:
Parallel Data, Tools and Interfaces in OPUS. LREC 2012: 2214-2218 - [c31]Christian Hardmeier, Joakim Nivre, Jörg Tiedemann:
Tree Kernels for Machine Translation Quality Estimation. WMT@NAACL-HLT 2012: 109-113 - 2011
- [b1]Jörg Tiedemann:
Bitext Alignment. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2011, ISBN 978-3-031-01014-9 - [c30]Christian Hardmeier, Jörg Tiedemann, Markus Saers, Marcello Federico, Prashant Mathur:
The Uppsala-FBK systems at WMT 2011. WMT@EMNLP 2011: 372-378 - [p2]Lonneke van der Plas, Jörg Tiedemann, Jean-Luc Manguin:
Synonym Acquisition across Domains and Languages. Advances in Distributed Agent-Based Retrieval Tools 2011: 41-57 - [p1]Lonneke van der Plas, Jörg Tiedemann, Ismail Fahmi:
Automatic Extraction of Medical Term Variants from Multilingual Parallel Translations. Interactive Multi-modal Question-Answering 2011: 149-170 - 2010
- [c29]Zahurul Islam, Jörg Tiedemann, Andreas Eisele:
English to Bangla Phrase-Based Machine Translation. EAMT 2010 - [c28]Jörg Tiedemann:
Lingua-Align: An Experimental Toolbox for Automatic Tree-to-Tree Alignment. LREC 2010 - [c27]Jörg Tiedemann:
To Cache or Not To Cache? Experiments with Adaptive Models in Statistical Machine Translation. WMT@ACL 2010: 189-194
2000 – 2009
- 2009
- [c26]Jörg Tiedemann:
Character-Based PSMT for Closely Related Languages. EAMT 2009 - [c25]Jörg Tiedemann:
Translating Questions for Cross-Lingual QA. EAMT 2009 - 2008
- [c24]Peter Nabende, Jörg Tiedemann, John Nerbonne:
Pair Hidden Markov Model for Named Entity Matching. SCSS (1) 2008: 497-502 - [c23]Gosse Bouma, Jori Mur, Gertjan van Noord, Lonneke van der Plas, Jörg Tiedemann:
Question Answering with Joost at CLEF 2008. CLEF (Working Notes) 2008 - [c22]Jörg Tiedemann:
Synchronizing Translated Movie Subtitles. LREC 2008 - 2007
- [c21]Jörg Tiedemann:
A Comparison of Genetic Algorithms for Optimizing Linguistically Informed IR in Question Answering. AI*IA 2007: 398-409 - [c20]Gosse Bouma, Geert Kloosterman, Jori Mur, Gertjan van Noord, Lonneke van der Plas, Jörg Tiedemann:
Question Answering with Joost at CLEF 2007. CLEF 2007: 257-260 - 2006
- [c19]Lonneke van der Plas, Jörg Tiedemann:
Finding Synonyms Using Automatic Word Alignment and Measures of Distributional Similarity. ACL 2006 - [c18]Gosse Bouma, Ismail Fahmi, Jori Mur, Gertjan van Noord, Lonneke van der Plas, Jörg Tiedemann:
Using Syntactic Knowledge for QA. CLEF 2006: 318-327 - [c17]Gosse Bouma, Ismail Fahmi, Jori Mur, Gertjan van Noord, Lonneke van der Plas, Jörg Tiedemann:
The University of Groningen at QA@CLEF 2006: Using Syntactic Knowledge for QA. CLEF (Working Notes) 2006 - [c16]Jörg Tiedemann:
ISA & ICA - Two Web Interfaces for Interactive Alignment of Bitexts alignment of parallel texts. LREC 2006: 2154-2159 - 2005
- [j1]Jörg Tiedemann:
Optimization of word alignment clues. Nat. Lang. Eng. 11(3): 279-293 (2005) - [c15]Gosse Bouma, Jori Mur, Gertjan van Noord, Lonneke van der Plas, Jörg Tiedemann:
Question Answering for Dutch Using Dependency Relations. CLEF 2005: 370-379 - [c14]Gosse Bouma, Jori Mur, Gertjan van Noord, Lonneke van der Plas, Jörg Tiedemann:
Question Answering for Dutch using Dependency Relations. CLEF (Working Notes) 2005 - [c13]Jörg Tiedemann:
Improving Passage Retrieval in Question Answering Using NLP. EPIA 2005: 634-646 - [c12]Jörg Tiedemann:
Integrating Linguistic Knowledge in Passage Retrieval for Question Answering. HLT/EMNLP 2005: 939-946 - 2004
- [c11]Jörg Tiedemann:
Word to word alignment strategies. COLING 2004 - [c10]Jörg Tiedemann, Lars Nygaard:
The OPUS Corpus - Parallel and Free: http: //logos.uio.no/opus. LREC 2004 - [c9]Per Weijnitz, Eva Forsbom, Ebba Gustavii, Eva Pettersson, Jörg Tiedemann:
MT Goes Farming: Comparing Two Machine Translation Approaches on a New Domain. LREC 2004 - 2003
- [c8]Jörg Tiedemann:
Combining Clues for Word Alignment. EACL 2003: 339-346 - 2002
- [c7]Anna Sågvall Hein, Eva Forsbom, Jörg Tiedemann, Per Weijnitz, Ingrid Almqvist, Leif-Jöran Olsson, Sten Thaning:
Scaling Up an MT Prototype for Industrial Use - Databases and Data Flow. LREC 2002 - [c6]Jörg Tiedemann:
MatsLex - a Multilingual Lexical Database for Machine Translation. LREC 2002 - 2001
- [c5]Jörg Tiedemann:
UplugWeb-Corpus Tools on the Web. NODALIDA 2001 - 2000
- [c4]Lars Ahrenberg, Magnus Merkel, Anna Sågvall Hein, Jörg Tiedemann:
Evaluation of Word Alignment Systems. LREC 2000
1990 – 1999
- 1999
- [c3]Jörg Tiedemann:
Automatic Construction of Weighted String Similarity Measures. EMNLP 1999 - [c2]Jörg Tiedemann:
Word Alignment Step by Step. NODALIDA 1999: 216-227 - 1998
- [c1]Jörg Tiedemann:
Extraction of Translation Equivalents from Parallel Corpora. NODALIDA 1998: 120-128
Coauthor Index
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