Mārcis Pinnis
Cited by
Cited by
Term Extraction, Tagging, and Mapping Tools for Under-Resourced Languages
M Pinnis, N Ljubešić, D Ştefănescu, I Skadiņa, M Tadić, T Gornostay
TKE (Terminology and Knowledge Engineering) Conference 2012, 193-208, 2012
Mitigating gender bias in machine translation with target gender annotations
A Stafanovičs, T Bergmanis, M Pinnis
Proceedings of the Fifth Conference on Machine Translation, 629-638, 2020
Neural machine translation for morphologically rich languages with improved sub-word units and synthetic data
M Pinnis, R Krišlauks, D Deksne, T Miks
Text, Speech, and Dialogue: 20th International Conference, TSD 2017, Prague …, 2017
Collecting and using comparable corpora for statistical machine translation
I Skadiņa, A Aker, N Mastropavlos, F Su, D Tufis, M Verlic, A Vasiļjevs, ...
Proceedings of the 8th international conference on language resources and …, 2012
Designing the Latvian Speech Recognition Corpus
M Pinnis, I Auziņa, K Goba
The Ninth International Conference on Language Resources and Evaluation …, 2014
Facilitating terminology translation with target lemma annotations
T Bergmanis, M Pinnis
arXiv preprint arXiv:2101.10035, 2021
Tilde’s Machine Translation Systems for WMT 2018
M Pinnis, M Rikters, R Krišlauks
Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018
Bilingual dictionaries for all EU languages
A Aker, ML Paramita, M Pinnis, R Gaizauskas
The Ninth International Conference on Language Resources and Evaluation …, 2014
Service model for semi-automatic generation of multilingual terminology resources
A Vasiljevs, M Pinnis, T Gornostay
Terminology and Knowledge Engineering 2014, 10 p, 2014
MT Adaptation for Under-Resourced Domains – What Works and What Not
M Pinnis, R Skadiņš
Human Language Technologies — The Baltic Perspective (HLT 2012), 176-184, 2012
Training and adapting multilingual NMT for less-resourced and morphologically rich languages
M Rikters, M Pinnis, R Krišlauks
Proceedings of the eleventh international conference on language resources …, 2018
Maximum entropy model for disambiguation of rich morphological tags
M Pinnis, K Goba
Systems and Frameworks for Computational Morphology: Second International …, 2011
Tilde’s parallel corpus filtering methods for WMT 2018
M Pinnis
Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018
Latvian and Lithuanian named entity recognition with TildeNER
M Pinnis
Seed 40, 37, 2012
Context Independent Term Mapper for European Languages
M Pinnis
Recent Advances in Natural Language Processing (RANLP 2013), 562--570, 2013
ACCURAT Toolkit for Multi-Level Alignment and Information Extraction from Comparable Corpora
M Pinnis, R Ion, D Ştefănescu, F Su, I Skadiņa, A Vasiļjevs, B Babych
ACL 2012, 4, 2012
Dynamic Terminology Integration Methods in Statistical Machine Translation
M Pinnis
Proceedings of the Eighteenth Annual Conference of the European Association …, 2015
The qt21/himl combined machine translation system
JT Peter, T Alkhouli, H Ney, M Huck, F Braune, A Fraser, A Tamchyna, ...
Association for Computational Linguistics, 2016
Pretraining and Fine-Tuning Strategies for Sentiment Analysis of Latvian Tweets
G Thakkar, M Pinnis
Human Language Technologies–The Baltic Perspective: Proceedings of the Ninth …, 2020
Developing and orchestrating a portfolio of natural legal language processing and document curation services
G Rehm, JM Schneider, J Gracia, A Revenko, V Mireles, M Khvalchik, ...
Proceedings of the Natural Legal Language Processing Workshop 2019, 55-66, 2019
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