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CORDIS

High Performance Language Technologies

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Initial release of monolingual and parallel data sets (opens in new window)

This deliverable consists of initial set of textual data acquired from web and non-web sources, both in monolingual and parallel parts, after cleaning done in WP2.

Software for cleaning data sets (opens in new window)

Free and open-source software will be released on GitHub.

First language models trained (opens in new window)

Language models will be made available for download however it may not have all or the cleanest data.

Translation models for select language pairs (opens in new window)

Models available for download trained using the pipeline.

Publications

Four Approaches to Low-Resource Multilingual NMT: The Helsinki Submission to the AmericasNLP 2023 Shared Task (opens in new window)

Author(s): Ona De Gibert, Raúl Vázquez, Mikko Aulamo, Yves Scherrer, Sami Virpioja, Jörg Tiedemann
Published in: 2023, ISBN 978-1-959429-91-3
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2023.AMERICASNLP-1.20

CUNI Systems for the WMT22 Czech-Ukrainian Translation Task (opens in new window)

Author(s): Popel, Martin; Libovický, Jindřich; Helcl, Jindřich
Published in: 2022, ISBN 978-1-959429-29-6
Publisher: Association for Computational Linguistics
DOI: 10.48550/ARXIV.2212.00486

PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India (opens in new window)

Author(s): Ashok Urlana, Pinzhen Chen, Zheng Zhao, Shay Cohen, Manish Shrivastava, Barry Haddow
Published in: 2023, ISBN 979-8-89176-061-5
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2023.FINDINGS-EMNLP.777

Towards Effective Disambiguation for Machine Translation with Large Language Models (opens in new window)

Author(s): Vivek Iyer, Pinzhen Chen, and Alexandra Birch
Published in: 2023, ISBN 979-8-89176-041-7
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2023.WMT-1.44

FinGPT: Large Generative Models for a Small Language (opens in new window)

Author(s): Luukkonen, Risto; Komulainen, Ville; Luoma, Jouni; Eskelinen, Anni; Kanerva, Jenna; Kupari, Hanna-Mari; Ginter, Filip; Laippala, Veronika; Muennighoff, Niklas; Piktus, Aleksandra; Wang, Thomas; Tazi, Nouamane; Scao, Teven Le; Wolf, Thomas; Suominen, Osma; Sairanen, Samuli; Merioksa, Mikko; Heinonen, Jyrki; Vahtola, Aija; Antao, Samuel; Pyysalo, Sampo
Published in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023, ISBN 979-8-89176-060-8
Publisher: Association for Computational Linguistics
DOI: 10.48550/arxiv.2311.05640

Tokenization with Factorized Subword Encoding (opens in new window)

Author(s): David Samuel and Lilja Øvrelid
Published in: 2023, ISBN 978-1-959429-62-3
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2023.FINDINGS-ACL.890

Towards Interpretable Mental Health Analysis with Large Language Models (opens in new window)

Author(s): Yang, Kailai; Ji, Shaoxiong; Zhang, Tianlin; Xie, Qianqian; Kuang, Ziyan; Ananiadou, Sophia
Published in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023, ISBN 979-8-89176-060-8
Publisher: Association for Computational Linguistics
DOI: 10.48550/arxiv.2304.03347

The OPUS-MT Dashboard – A Toolkit for a Systematic Evaluation of Open Machine Translation Models (opens in new window)

Author(s): Jörg Tiedemann and Ona de Gibert
Published in: 2023, ISBN 978-1-959429-70-8
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2023.ACL-DEMO.30

Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting (opens in new window)

Author(s): Bogoychev, Nikolay and Chen, Pinzhen
Published in: 2023, ISBN 979-8-89176-041-7
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2023.WMT-1.80

Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca (opens in new window)

Author(s): Chen, Pinzhen; Ji, Shaoxiong; Bogoychev, Nikolay; Kutuzov, Andrey; Haddow, Barry; Heafield, Kenneth
Published in: EACL, 2023, ISBN 979-8-89176-088-2
Publisher: Association for Computational Linguistics
DOI: 10.48550/arxiv.2309.08958

Unsupervised Feature Selection for Effective Parallel Corpus Filtering

Author(s): Mikko Aulamo, Ona de Gibert, Sami Virpioja, and Jörg Tiedemann
Published in: Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 2023, ISBN 978-952-03-2947-1
Publisher: European Association for Machine Translation

Exploring Data Augmentation for Code Generation Tasks

Author(s): Pinzhen Chen, Gerasimos Lampouras
Published in: 2023, ISBN 978-1-959429-47-0
Publisher: Association for Computational Linguistics

Scaling Data-Constrained Language Models (opens in new window)

Author(s): Muennighoff, Niklas; Rush, Alexander M.; Barak, Boaz; Scao, Teven Le; Piktus, Aleksandra; Tazi, Nouamane; Pyysalo, Sampo; Wolf, Thomas; Raffel, Colin
Published in: 2023, ISSN 2331-8422
Publisher: NeurIPS'23
DOI: 10.48550/arxiv.2305.16264

CUNI Non-Autoregressive System for the WMT 22 Efficient Translation Shared Task (opens in new window)

Author(s): Helcl, Jindřich
Published in: 2022, ISBN 978-1-959429-29-6
Publisher: Association for Computational Linguistics
DOI: 10.48550/ARXIV.2212.00477

Cheating to Identify Hard Problems for Neural Machine Translation (opens in new window)

Author(s): Proyag Pal, Kenneth Heafield
Published in: 2023, ISBN 978-1-959429-47-0
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2023.FINDINGS-EACL.120

Large Language Model Inference with Lexical Shortlisting (opens in new window)

Author(s): Nikolay Bogoychev and Pinzhen Chen and Barry Haddow and Alexandra Birch
Published in: AAAI Workshop on Deployable AI, 2024, ISSN 2331-8422
Publisher: arXiv
DOI: 10.48550/ARXIV.2311.09709

SpringerPlus (opens in new window)

Author(s): Tiedemann J.; Aulamo M.; Bakshandaeva D.; Boggia M.; Grönroos S. A.; Nieminen T.; Raganato A.; Scherrer Y.; Vázquez R.; Virpioja S.
Published in: Springer, 2023, ISSN 2193-1801
Publisher: Springer Science and Business Media Deutschland GmbH
DOI: 10.48550/ARXIV.2212.01936

HPLT High-Performance Language Technology: Building LLMs and TMs in European languages

Author(s): Hajič, Jan
Published in: 2023
Publisher: Oral presentation at Skeikampen, Norway

Iterative Translation Refinement with Large Language Models (opens in new window)

Author(s): Chen, Pinzhen and Guo, Zhicheng and Haddow, Barry and Heafield, Kenneth
Published in: 2023, ISSN 2331-8422
Publisher: arXiv
DOI: 10.48550/ARXIV.2306.03856

{EEE-QA}: Exploring effective and efficient question-answer representations (opens in new window)

Author(s): Zhanghao Hu and Yijun Yang and Junjie Xu and Yifu Qiu and Pinzhen Chen
Published in: 2024, ISSN 2331-8422
Publisher: arXiv
DOI: 10.48550/ARXIV.2403.02176

Velké jazykové modely: Co znamená velké a co jazykové?

Author(s): Libovický, Jindřich
Published in: 2023
Publisher: Talk at FI MUNI, Brno, Czechia

OpusCleaner and OpusTrainer, open source toolkits for training Machine Translation and Large language models (opens in new window)

Author(s): Nikolay Bogoychev and Jelmer van der Linde and Graeme Nail and Barry Haddow and Jaume Zaragoza-Bernabeu and Gema Ramírez-Sánchez and Lukas Weymann and Tudor Nicolae Mateiu and Jindřich Helcl and Mikko Aulamo
Published in: 2023, ISSN 2331-8422
Publisher: arXiv
DOI: 10.48550/ARXIV.2311.14838

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