Jörg Tiedemann

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 117

Top Venues

Publications

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 (2024)
Shaoxiong Ji, Timothee Mickus, Vincent Segonne, Jörg Tiedemann
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning? LREC/COLING (2024)
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 (2024)
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 (2024)
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 (2024)
Shaoxiong Ji, Timothee Mickus, Vincent Segonne, Jörg Tiedemann
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning? CoRR (2024)
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)
Peiqin Lin, Shaoxiong Ji, Jörg Tiedemann, André F. T. Martins, Hinrich Schütze
MaLA-500: Massive Language Adaptation of Large Language Models. CoRR (2024)
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)
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) (2024)
Aarne Talman, Hande Çelikkanat, Sami Virpioja, Markus Heinonen, Jörg Tiedemann
Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging. CoRR (2023)
Teemu Vahtola, Mathias Creutz, Jörg Tiedemann
Guiding Zero-Shot Paraphrase Generation with Fine-Grained Control Tokens. *SEM@ACL (2023)
Jörg Tiedemann, Ona de Gibert
The OPUS-MT Dashboard - A Toolkit for a Systematic Evaluation of Open Machine Translation Models. ACL (demo) (2023)
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 (2023)
Mikko Aulamo, Ona de Gibert, Sami Virpioja, Jörg Tiedemann
Unsupervised Feature Selection for Effective Parallel Corpus Filtering. EAMT (2023)
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)
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)
Aarne Talman, Hande Çelikkanat, Sami Virpioja, Markus Heinonen, Jörg Tiedemann
Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging. NoDaLiDa (2023)
Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets. CoRR (2022)
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)
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)
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)
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 (2022)
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)
Sami Itkonen, Jörg Tiedemann, Mathias Creutz
Helsinki-NLP at SemEval-2022 Task 2: A Feature-Based Approach to Multilingual Idiomaticity Detection. SemEval@NAACL (2022)
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)
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 (2022)
Teemu Vahtola, Eetu Sjöblom, Jörg Tiedemann, Mathias Creutz
Modeling Noise in Paraphrase Detection. LREC (2022)
Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance. NoDaLiDa (2021)
Jörg Tiedemann, Preslav Nakov
Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets. CoRR (2021)
Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance. CoRR (2021)
Mikko Aulamo, Sami Virpioja, Yves Scherrer, Jörg Tiedemann
Boosting Neural Machine Translation from Finnish to Northern Sámi with Rule-Based Backtranslation. NoDaLiDa (2021)
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)
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)
Alessandro Raganato, Yves Scherrer, Jörg Tiedemann
Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation. CoRR (2020)
Alessandro Raganato, Yves Scherrer, Jörg Tiedemann
An Evaluation Benchmark for Testing the Word Sense Disambiguation Capabilities of Machine Translation Systems. LREC (2020)
Alessandro Raganato, Yves Scherrer, Jörg Tiedemann
Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation. EMNLP (Findings) (2020)
Maarit Koponen, Umut Sulubacak, Kaisa Vitikainen, Jörg Tiedemann
MT for subtitling: User evaluation of post-editing productivity. EAMT (2020)
Marc Pàmies, Emily Öhman, Kaisla Kajava, Jörg Tiedemann
LT@Helsinki at SemEval-2020 Task 12: Multilingual or language-specific BERT? CoRR (2020)
Kaisla Kajava, Emily Öhman, Hui Piao, Jörg Tiedemann
Emotion Preservation in Translation: Evaluating Datasets for Annotation Projection. DHN (2020)
Jörg Tiedemann, Santhosh Thottingal
OPUS-MT - Building open translation services for the World. EAMT (2020)
Hande Çelikkanat, Sami Virpioja, Jörg Tiedemann, Marianna Apidianaki
Controlling the Imprint of Passivization and Negation in Contextualized Representations. BlackboxNLP@EMNLP (2020)
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) (2020)
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 (2020)
Mikko Aulamo, Umut Sulubacak, Sami Virpioja, Jörg Tiedemann
OpusTools and Parallel Corpus Diagnostics. LREC (2020)
Jörg Tiedemann
The Tatoeba Translation Challenge - Realistic Data Sets for Low Resource and Multilingual MT. CoRR (2020)
Emily Öhman, Marc Pàmies, Kaisla Kajava, Jörg Tiedemann
XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection. COLING (2020)
Maarit Koponen, Umut Sulubacak, Kaisa Vitikainen, Jörg Tiedemann
MT for Subtitling: Investigating professional translators' user experience and feedback. PEMDT@AMTA (2020)
Jörg Tiedemann
The Tatoeba Translation Challenge - Realistic Data Sets for Low Resource and Multilingual MT. WMT@EMNLP (2020)
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)
Mikko Aulamo, Sami Virpioja, Jörg Tiedemann
OpusFilter: A Configurable Parallel Corpus Filtering Toolbox. ACL (demo) (2020)
Anna Dmitrieva, Jörg Tiedemann
A Multi-task Learning Approach to Text Simplification. AIST (Supplement) (2020)
Janine Siewert, Yves Scherrer, Martijn Wieling, Jörg Tiedemann
LSDC - A comprehensive dataset for Low Saxon Dialect Classification. VarDial@COLING (2020)
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) (2020)
Marc Pàmies, Emily Öhman, Kaisla Kajava, Jörg Tiedemann
LT@Helsinki at SemEval-2020 Task 12: Multilingual or Language-specific BERT? SemEval@COLING (2020)
Emily Öhman, Marc Pàmies, Kaisla Kajava, Jörg Tiedemann
XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection. CoRR (2020)
Yves Scherrer, Alessandro Raganato, Jörg Tiedemann
The MUCOW word sense disambiguation test suite at WMT 2020. WMT@EMNLP (2020)
Raúl Vázquez, Mikko Aulamo, Umut Sulubacak, Jörg Tiedemann
The University of Helsinki Submission to the IWSLT2020 Offline SpeechTranslation Task. IWSLT (2020)
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 (2019)
Mika Hämäläinen, Tanja Säily, Jack Rueter, Jörg Tiedemann, Eetu Mäkelä
Revisiting NMT for Normalization of Early English Letters. LaTeCH@NAACL-HLT (2019)
Aarne Talman, Antti Suni, Hande Çelikkanat, Sofoklis Kakouros, Jörg Tiedemann, Martti Vainio
Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations. CoRR (2019)
Johannes Bjerva, Robert Östling, Maria Han Veiga, Jörg Tiedemann, Isabelle Augenstein
What do Language Representations Really Represent? CoRR (2019)
Yves Scherrer, Jörg Tiedemann, Sharid Loáiciga
Analysing concatenation approaches to document-level NMT in two different domains. DiscoMT@EMNLP (2019)
Raúl Vázquez, Umut Sulubacak, Jörg Tiedemann
The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task. WMT (3) (2019)
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)
Mikko Aulamo, Jörg Tiedemann
The OPUS Resource Repository: An Open Package for Creating Parallel Corpora and Machine Translation Services. NODALIDA (2019)
Aarne Talman, Anssi Yli-Jyrä, Jörg Tiedemann
Sentence embeddings in NLI with iterative refinement encoders. Nat. Lang. Eng. 25 (4) (2019)
Umut Sulubacak, Ozan Caglayan, Stig-Arne Grönroos, Aku Rouhe, Desmond Elliott, Lucia Specia, Jörg Tiedemann
Multimodal Machine Translation through Visuals and Speech. CoRR (2019)
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 (2019)
Alessandro Raganato, Raúl Vázquez, Mathias Creutz, Jörg Tiedemann
An Evaluation of Language-Agnostic Inner-Attention-Based Representations in Machine Translation. RepL4NLP@ACL (2019)
Johannes Bjerva, Robert Östling, Maria Han Veiga, Jörg Tiedemann, Isabelle Augenstein
What Do Language Representations Really Represent? Comput. Linguistics 45 (2) (2019)
Raúl Vázquez, Alessandro Raganato, Jörg Tiedemann, Mathias Creutz
Multilingual NMT with a Language-Independent Attention Bridge. RepL4NLP@ACL (2019)
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)
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)
Umut Sulubacak, Jörg Tiedemann, Aku Rouhe, Stig-Arne Grönroos, Mikko Kurimo
The MeMAD Submission to the IWSLT 2018 Speech Translation Task. IWSLT (2018)
Aarne Talman, Anssi Yli-Jyrä, Jörg Tiedemann
Natural Language Inference with Hierarchical BiLSTM Max Pooling Architecture. CoRR (2018)
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) (2018)
Jörg Tiedemann
Emerging Language Spaces Learned From Massively Multilingual Corpora. CoRR (2018)
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)
Raúl Vázquez, Alessandro Raganato, Jörg Tiedemann, Mathias Creutz
Multilingual NMT with a language-independent attention bridge. CoRR (2018)
Pierre Lison, Jörg Tiedemann, Milen Kouylekov
OpenSubtitles2018: Statistical Rescoring of Sentence Alignments in Large, Noisy Parallel Corpora. LREC (2018)
Emily Öhman, Kaisla Kajava, Jörg Tiedemann, Timo Honkela
Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation. WASSA@EMNLP (2018)
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)
Alessandro Raganato, Jörg Tiedemann
An Analysis of Encoder Representations in Transformer-Based Machine Translation. BlackboxNLP@EMNLP (2018)
Alessandro Raganato, Yves Scherrer, Tommi Nieminen, Arvi Hurskainen, Jörg Tiedemann
The University of Helsinki submissions to the WMT18 news task. WMT (shared task) (2018)
Mika Hämäläinen, Tanja Säily, Jack Rueter, Jörg Tiedemann, Eetu Mäkelä
Normalizing Early English Letters to Present-day English Spelling. LaTeCH@COLING (2018)
Jörg Tiedemann
Emerging Language Spaces Learned From Massively Multilingual Corpora. DHN (2018)
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 (2018)
Umut Sulubacak, Jörg Tiedemann, Aku Rouhe, Stig-Arne Grönroos, Mikko Kurimo
The MeMAD Submission to the IWSLT 2018 Speech Translation Task. CoRR (2018)
Jörg Tiedemann, Yves Scherrer
Translational Grounding: Using Paraphrase Recognition and Generation to Demonstrate Semantic Abstraction Abilities of MultiLingual NMT. CoRR (2018)
Jörg Tiedemann
Cross-lingual dependency parsing for closely related languages - Helsinki's submission to VarDial 2017. VarDial (2017)
Jörg Tiedemann, Yves Scherrer
Neural Machine Translation with Extended Context. CoRR (2017)
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)
Robert Östling, Jörg Tiedemann
Neural machine translation for low-resource languages. CoRR (2017)
Jörg Tiedemann, Yves Scherrer
Neural Machine Translation with Extended Context. DiscoMT@EMNLP (2017)
Robert Östling, Jörg Tiedemann
Continuous multilinguality with language vectors. EACL (2) (2017)
Jörg Tiedemann
Cross-Lingual Dependency Parsing for Closely Related Languages - Helsinki's Submission to VarDial 2017. CoRR (2017)
Robert Östling, Yves Scherrer, Jörg Tiedemann, Gongbo Tang, Tommi Nieminen
The Helsinki Neural Machine Translation System. WMT (2017)
Gideon Kotzé, Vincent Vandeghinste, Scott Martens, Jörg Tiedemann
Large aligned treebanks for syntax-based machine translation. Lang. Resour. Evaluation 51 (2) (2017)
Robert Östling, Yves Scherrer, Jörg Tiedemann, Gongbo Tang, Tommi Nieminen
The Helsinki Neural Machine Translation System. CoRR (2017)

Jörg Tiedemann.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jörg Tiedemann