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2020 – today
- 2025
[i10]Jurgita Kapociute-Dzikiene, Toms Bergmanis, Marcis Pinnis:
Localizing AI: Evaluating Open-Weight Language Models for Languages of Baltic States. CoRR abs/2501.03952 (2025)- 2024
- [c54]Martins Kronis, Askars Salimbajevs, Marcis Pinnis:
Code-Mixed Text Augmentation for Latvian ASR. LREC/COLING 2024: 3469-3479 - 2023
- [j7]Dace Sostaka, Juris Borzovs, Eduards Cauna, Iveta Keisa, Marcis Pinnis, Andrejs Vasiljevs:
The Semi-Algorithmic Approach to Formation of Latvian Information and Communication Technology Terms. Balt. J. Mod. Comput. 11(1) (2023) - [p4]Inguna Skadina, Andrejs Vasiljevs, Marcis Pinnis, Aivars Berzins, Nora Aranberri, Joachim Van den Bogaert, Sally O'Connor, Mercedes García-Martínez, Iakes Goenaga, Jan Hajic, Manuel Herranz, Christian Lieske, Martin Popel, Maja Popovic, Sheila Castilho, Federico Gaspari, Rudolf Rosa
, Riccardo Superbo, Andy Way:
Deep Dive Machine Translation. European Language Equality 2023: 263-287 - 2022
- [j6]Toms Bergmanis, Marcis Pinnis:
From Zero to Production: Baltic-Ukrainian Machine Translation Systems to Aid Refugees. Balt. J. Mod. Comput. 10(3) (2022) - [j5]Inguna Skadina, Baiba Saulite, Ilze Auzina, Normunds Gruzitis, Andrejs Vasiljevs, Raivis Skadins, Marcis Pinnis:
Latvian Language in the Digital Age: The Main Achievements in the Last Decade. Balt. J. Mod. Comput. 10(3) (2022) - [j4]Andre Tättar, Taido Purason, Hele-Andra Kuulmets, Agnes Luhtaru, Liisa Rätsep, Maali Tars, Marcis Pinnis, Toms Bergmanis, Mark Fishel:
Open and Competitive Multilingual Neural Machine Translation in Production. Balt. J. Mod. Comput. 10(3) (2022) - [j3]Marcis Pinnis, Stephan Busemann, Arturs Vasilevskis, Josef van Genabith:
The German EU Council Presidency Translator. Künstliche Intell. 36(1): 99-104 (2022) - [c53]Toms Bergmanis, Marcis Pinnis, Roberts Rozis, Janis Slapins, Valters Sics, Berta Bernane, Guntars Puzulis, Endijs Titomers, Andre Tättar, Taido Purason, Hele-Andra Kuulmets, Agnes Luhtaru, Liisa Rätsep, Maali Tars, Annika Laumets-Tättar, Mark Fishel:
MTee: Open Machine Translation Platform for Estonian Government. EAMT 2022: 307-308 - [c52]Ona de Gibert Bonet, Iakes Goenaga, Jordi Armengol-Estapé, Olatz Perez-de-Viñaspre, Carla Parra Escartín, Marina Sanchez, Marcis Pinnis, Gorka Labaka, Maite Melero:
Unsupervised Machine Translation in Real-World Scenarios. LREC 2022: 3038-3047 - [c51]Andis Lagzdins, Uldis Silins, Toms Bergmanis, Marcis Pinnis, Arturs Vasilevskis, Andrejs Vasiljevs:
Open Terminology Management and Sharing Toolkit for Federation of Terminology Databases. LREC 2022: 6310-6316 - [c50]Gabriel Amaral, Marcis Pinnis, Inguna Skadina, Odinaldo Rodrigues, Elena Simperl:
Statistical and Neural Methods for Cross-lingual Entity Label Mapping in Knowledge Graphs. TSD 2022: 39-51 - [i9]Gabriel Amaral, Marcis Pinnis, Inguna Skadina, Odinaldo Rodrigues, Elena Simperl:
Statistical and Neural Methods for Cross-lingual Entity Label Mapping in Knowledge Graphs. CoRR abs/2206.08709 (2022) - [i8]Andis Lagzdins, Uldis Silins, Marcis Pinnis, Toms Bergmanis, Arturs Vasilevskis, Andrejs Vasiljevs:
Open Terminology Management and Sharing Toolkit for Federation of Terminology Databases. CoRR abs/2207.06729 (2022) - [i7]Toms Bergmanis, Marcis Pinnis:
From Zero to Production: Baltic-Ukrainian Machine Translation Systems to Aid Refugees. CoRR abs/2209.14142 (2022) - 2021
- [j2]Zigmunds Belskis, Marita Zirne, Viesturs Slaidins, Marcis Pinnis:
Natural Language Based Posting Account Classification. Balt. J. Mod. Comput. 9(2) (2021) - [c49]Toms Bergmanis, Marcis Pinnis:
Facilitating Terminology Translation with Target Lemma Annotations. EACL 2021: 3105-3111 - [c48]Toms Bergmanis, Marcis Pinnis:
Dynamic Terminology Integration for COVID-19 and Other Emerging Domains. WMT@EMNLP 2021: 821-827 - [i6]Toms Bergmanis, Marcis Pinnis:
Facilitating Terminology Translation with Target Lemma Annotations. CoRR abs/2101.10035 (2021) - [i5]Toms Bergmanis, Marcis Pinnis:
Dynamic Terminology Integration for COVID-19 and other Emerging Domains. CoRR abs/2109.04708 (2021) - 2020
- [c47]Rubén Martínez-Domínguez, Matiss Rikters, Arturs Vasiclevskis, Marcis Pinnis, Paula Reichenberg:
Customized Neural Machine Translation Systems for the Swiss Legal Domain. AMTA (2) 2020: 217-223 - [c46]Kristine Metuzale, Alexandra Soska, Marcis Pinnis:
A Tale of Eight Countries or the EU Council Presidency Translator in Retrospect. AMTA (2) 2020: 525-546 - [c45]Zigmunds Belskis, Marita Zirne, Marcis Pinnis:
Features and Methods for Automatic Posting Account Classification. DB&IS 2020: 68-81 - [c44]Laurent Bié, Aleix Cerdà-i-Cucó, Hans Degroote, Amando Estela, Mercedes García-Martínez, Manuel Herranz, Alejandro Kohan, Maite Melero, Tony O'Dowd, Sinéad O'Gorman, Marcis Pinnis, Roberts Rozis, Riccardo Superbo, Arturs Vasilevskis:
Neural Translation for the European Union (NTEU) Project. EAMT 2020: 477-478 - [c43]Gaurish Thakkar, Marcis Pinnis:
Pretraining and Fine-Tuning Strategies for Sentiment Analysis of Latvian Tweets. Baltic HLT 2020: 55-61 - [c42]Diego Alves, Askars Salimbajevs, Marcis Pinnis:
Data Augmentation for Pipeline-Based Speech Translation. Baltic HLT 2020: 73-79 - [c41]Toms Bergmanis, Arturs Stafanovics, Marcis Pinnis:
Robust Neural Machine Translation: Modeling Orthographic and Interpunctual Variation. Baltic HLT 2020: 80-86 - [c40]Raivis Skadins, Marcis Pinnis, Arturs Vasilevskis, Andrejs Vasiljevs, Valters Sics, Roberts Rozis, Andis Lagzdins:
Language Technology Platform for Public Administration. Baltic HLT 2020: 182-190 - [c39]Rihards Krislauks, Marcis Pinnis:
Tilde at WMT 2020: News Task Systems. WMT@EMNLP 2020: 175-180 - [c38]Arturs Stafanovics, Marcis Pinnis, Toms Bergmanis:
Mitigating Gender Bias in Machine Translation with Target Gender Annotations. WMT@EMNLP 2020: 629-638 - [i4]Toms Bergmanis, Arturs Stafanovics, Marcis Pinnis:
Robust Neural Machine Translation: Modeling Orthographic and Interpunctual Variation. CoRR abs/2009.05460 (2020) - [i3]Arturs Stafanovics, Toms Bergmanis, Marcis Pinnis:
Mitigating Gender Bias in Machine Translation with Target Gender Annotations. CoRR abs/2010.06203 (2020) - [i2]Gaurish Thakkar, Marcis Pinnis:
Pretraining and Fine-Tuning Strategies for Sentiment Analysis of Latvian Tweets. CoRR abs/2010.12401 (2020) - [i1]Rihards Krislauks, Marcis Pinnis:
Tilde at WMT 2020: News Task Systems. CoRR abs/2010.15423 (2020)
2010 – 2019
- 2019
- [c37]Sheila Castilho, Natália Resende, Federico Gaspari, Andy Way, Tony O'Dowd, Marek Mazur, Manuel Herranz, Alexandre Helle, Gema Ramírez-Sánchez, Víctor M. Sánchez-Cartagena, Marcis Pinnis, Valters Sics:
Large-scale Machine Translation Evaluation of the iADAATPA Project. MTSummit (2) 2019: 179-185 - [c36]Marcis Pinnis, Rihards Krislauks, Matiss Rikters:
Tilde's Machine Translation Systems for WMT 2019. WMT (2) 2019: 327-334 - [p3]Marcis Pinnis, Nikola Ljubesic, Dan Stefanescu, Inguna Skadina, Marko Tadic, Tatjana Gornostaja, Spela Vintar, Darja Fiser:
Extracting Data from Comparable Corpora. Using Comparable Corpora for Under-Resourced Areas of Machine Translation 2019: 89-139 - [p2]Bogdan Babych, Yu Chen, Andreas Eisele, Sabine Hunsicker, Marcis Pinnis, Inguna Skadina, Raivis Skadins, Gregor Thurmair, Andrejs Vasiljevs, Mateja Verlic, Xiaojun Zhang:
Training, Enhancing, Evaluating and Using MT Systems with Comparable Data. Using Comparable Corpora for Under-Resourced Areas of Machine Translation 2019: 189-254 - [p1]Ahmet Aker, Radu Ion, Nikos Mastropavlos, Monica Lestari Paramita, Marcis Pinnis, Dan Stefanescu, Fangzhong Su, Gregor Thurmair, Elena Irimia, Nikola Ljubesic, Evangelos Kanoulas, Judita Preiss, Robert J. Gaizauskas, Paul D. Clough, Emma Barker, Nikos Glaros, Tiberiu Boros, Inguna Skadina, Andrejs Vasiljevs:
Appendices. Using Comparable Corpora for Under-Resourced Areas of Machine Translation 2019: 291-323 - 2018
- [j1]Matiss Rikters, Marcis Pinnis:
Debugging Translations of Transformer-based Neural Machine Translation Systems. Balt. J. Mod. Comput. 6(4) (2018) - [c35]Marcis Pinnis, Rihards Kalnins:
Developing a Neural Machine Translation Service for the 2017-2018 European Union Presidency. AMTA (2) 2018: 72-83 - [c34]Toms Miks, Marcis Pinnis, Matiss Rikters, Rihards Krislauks:
Effective Online Learning Implementation for Statistical Machine Translation. DB&IS 2018: 302-313 - [c33]Marcis Pinnis:
Latvian Tweet Corpus and Investigation of Sentiment Analysis for Latvian. Baltic HLT 2018: 112-119 - [c32]Matiss Rikters, Marcis Pinnis, Roberts Rozis:
Advancing Estonian Machine Translation. Baltic HLT 2018: 134-141 - [c31]Marcis Pinnis, Andrejs Vasiljevs, Rihards Kalnins, Roberts Rozis, Raivis Skadins, Valters Sics:
Tilde MT Platform for Developing Client Specific MT Solutions. LREC 2018 - [c30]Matiss Rikters, Marcis Pinnis, Rihards Krislauks:
Training and Adapting Multilingual NMT for Less-resourced and Morphologically Rich Languages. LREC 2018 - [c29]Marcis Pinnis, Raivis Skadins, Valters Sics, Toms Miks:
Integration of Neural Machine Translation Systems for Formatting-Rich Document Translation. NLDB 2018: 494-497 - [c28]Marcis Pinnis, Matiss Rikters, Rihards Krislauks:
Tilde's Machine Translation Systems for WMT 2018. WMT (shared task) 2018: 473-481 - [c27]Marcis Pinnis:
Tilde's Parallel Corpus Filtering Methods for WMT 2018. WMT (shared task) 2018: 939-945 - 2017
- [c26]Marcis Pinnis, Rihards Krislauks, Daiga Deksne, Toms Miks:
Evaluation of Neural Machine Translation for Highly Inflected and Small Languages. CICLing (2) 2017: 445-456 - [c25]Inguna Skadina, Marcis Pinnis:
NMT or SMT: Case Study of a Narrow-domain English-Latvian Post-editing Project. IJCNLP(1) 2017: 373-383 - [c24]Marcis Pinnis, Rihards Krislauks, Daiga Deksne, Toms Miks:
Neural Machine Translation for Morphologically Rich Languages with Improved Sub-word Units and Synthetic Data. TSD 2017: 237-245 - [c23]Jan-Thorsten Peter, Hermann Ney, Ondrej Bojar, Ngoc-Quan Pham, Jan Niehues, Alex Waibel, Franck Burlot, François Yvon, Marcis Pinnis, Valters Sics, Jasmijn Bastings, Miguel Rios, Wilker Aziz, Philip Williams, Frédéric Blain, Lucia Specia:
The QT21 Combined Machine Translation System for English to Latvian. WMT 2017: 348-357 - [c22]Marcis Pinnis, Rihards Krislauks, Toms Miks, Daiga Deksne, Valters Sics:
Tilde's Machine Translation Systems for WMT 2017. WMT 2017: 374-381 - 2016
- [c21]Marcis Pinnis, Rihards Kalnins, Raivis Skadins, Inguna Skadina:
What Can We Really Learn from Post-editing? AMTA (2) 2016: 86-91 - [c20]Marcis Pinnis:
Towards Hybrid Neural Machine Translation for English-Latvian. Baltic HLT 2016: 84-91 - [c19]Marcis Pinnis, Askars Salimbajevs, Ilze Auzina:
Designing a Speech Corpus for the Development and Evaluation of Dictation Systems in Latvian. LREC 2016 - [c18]Jan-Thorsten Peter, Tamer Alkhouli, Hermann Ney, Matthias Huck, Fabienne Braune, Alexander M. Fraser, Ales Tamchyna, Ondrej Bojar, Barry Haddow, Rico Sennrich, Frédéric Blain, Lucia Specia, Jan Niehues, Alex Waibel, Alexandre Allauzen, Lauriane Aufrant, Franck Burlot, Elena Knyazeva, Thomas Lavergne, François Yvon, Marcis Pinnis, Stella Frank:
The QT21/HimL Combined Machine Translation System. WMT 2016: 344-355 - 2015
- [c17]Marcis Pinnis:
Dynamic Terminology Integration Methods in Statistical Machine Translation. EAMT 2015 - 2014
- [c16]Raivis Skadins, Marcis Pinnis, Andrejs Vasiljevs, Inguna Skadina, Tomás Hudik:
Application of machine translation in localization into low-resourced languages. EAMT 2014: 209-216 - [c15]Ilze Auzina, Marcis Pinnis, Roberts Dargis:
Comparison of Rule-based and Statistical Methods for Grapheme to Phoneme Modelling. Baltic HLT 2014: 57-60 - [c14]Marcis Pinnis:
Bootstrapping of a Multilingual Transliteration Dictionary for European Languages. Baltic HLT 2014: 132-140 - [c13]Askars Salimbajevs, Marcis Pinnis:
Towards Large Vocabulary Automatic Speech Recognition for Latvian. Baltic HLT 2014: 236-243 - [c12]Marcis Pinnis, Ilze Auzina, Karlis Goba:
Designing the Latvian Speech Recognition Corpus. LREC 2014: 1547-1553 - [c11]Ahmet Aker, Monica Lestari Paramita, Marcis Pinnis, Robert J. Gaizauskas:
Bilingual dictionaries for all EU languages. LREC 2014: 2839-2845 - [c10]Juris Borzovs, Ilze Ilzina, Iveta Keisa, Marcis Pinnis, Andrejs Vasiljevs:
Terminology localization guidelines for the national scenario. LREC 2014: 4012-4017 - 2013
- [c9]Marcis Pinnis, Inguna Skadina, Andrejs Vasiljevs:
Domain Adaptation in Statistical Machine Translation Using Comparable Corpora: Case Study for English Latvian IT Localisation. CICLing (2) 2013: 224-235 - [c8]Raivis Skadins, Marcis Pinnis, Tatiana Gornostay, Andrejs Vasiljevs:
Application of Online Terminology Services in Statistical Machine Translation. MTSummit (Posters) 2013 - [c7]Marcis Pinnis:
Context Independent Term Mapper for European Languages. RANLP 2013: 562-570 - 2012
- [c6]Marcis Pinnis, Radu Ion, Dan Stefanescu, Fangzhong Su, Inguna Skadina, Andrejs Vasiljevs, Bogdan Babych:
ACCURAT Toolkit for Multi-Level Alignment and Information Extraction from Comparable Corpora. ACL (System Demonstrations) 2012: 91-96 - [c5]Marcis Pinnis, Raivis Skadins:
MT Adaptation for Under-Resourced Domains - What Works and What Not. Baltic HLT 2012: 176-184 - [c4]Inguna Skadina, Ahmet Aker, Nikos Mastropavlos, Fangzhong Su, Dan Tufis, Mateja Verlic, Andrejs Vasiljevs, Bogdan Babych, Paul D. Clough, Robert J. Gaizauskas, Nikos Glaros, Monica Lestari Paramita, Marcis Pinnis:
Collecting and Using Comparable Corpora for Statistical Machine Translation. LREC 2012: 438-445 - [c3]Marcis Pinnis:
Latvian and Lithuanian Named Entity Recognition with TildeNER. LREC 2012: 1258-1265 - 2011
- [c2]Marcis Pinnis, Karlis Goba:
Maximum Entropy Model for Disambiguation of Rich Morphological Tags. SFCM 2011: 14-22 - 2010
- [c1]Marcis Pinnis, Ilze Auzina:
Latvian Text-to-Speech Synthesizer. Baltic HLT 2010: 69-72
Coauthor Index
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last updated on 2025-02-20 01:46 CET by the dblp team
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