Mārcis Pinnis

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Andrejs VasiļjevsTildeVerified email at tilde.com
Inguna SkadiņaTilde; Institute of Mathematics and Computer Science, University of LatviaVerified email at tilde.lv
Toms BergmanisTilde, University of LatviaVerified email at tilde.lv
Raivis SkadiņšTildeVerified email at tilde.lv
Rihards KrišlauksTildeVerified email at tilde.lv
Tatiana GornostayTilde Company, Business DevelopmentVerified email at tilde.lv
Matīss RiktersNational Institute of Advanced Industrial Science and Technology (AIST)Verified email at aist.go.jp
Ilze AuziņaInstitute of Mathematics and Computer Science (IMCS), University of LatviaVerified email at lumii.lv
Dan StefanescuData Scientist, AudibleVerified email at audible.com
ahmet akerResearch Associate at the University of SheffieldVerified email at dcs.shef.ac.uk
Robert GaizauskasProfessor of Computer Science, University of SheffieldVerified email at sheffield.ac.uk
Daiga DeksneTildeVerified email at tilde.lv
Roberts RozisTildeVerified email at tilde.lv
Bogdan BabychUniversität HeidelbergVerified email at iued.uni-heidelberg.de
Askars SalimbajevsResearcher, Latvian University and TildeVerified email at lu.lv
Artūrs StafanovičsTilde, University of LatviaVerified email at tilde.lv
Nikola LjubešićResearcher at Jožef Stefan InstituteVerified email at ijs.si
Marko TadićUniversity of Zagreb, Faculty of Humanities and Social SciencesVerified email at ffzg.unizg.hr
Dan TufisProfessor of Artificial Intelligence, Institute for Artificial Intelligence, Romanian AcademyVerified email at racai.ro
Paul D CloughProfessor in Search & Analytics, University of Sheffield / Data Scientist, TPXimpactVerified email at sheffield.ac.uk

Mārcis Pinnis

Tilde

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Natural Language Processing Machine Learning Machine Translation Multilingual Term Extraction Machine Transliteration


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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	69	2020
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	69	2012
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	49	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	43	2012
Facilitating terminology translation with target lemma annotations T Bergmanis, M Pinnis arXiv preprint arXiv:2101.10035, 2021	42	2021
Designing the Latvian Speech Recognition Corpus M Pinnis, I Auziņa, K Goba The Ninth International Conference on Language Resources and Evaluation …, 2014	41	2014
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	38	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	31	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	30	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	28	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	25	2018
Maximum entropy model for disambiguation of rich morphological tags M Pinnis, K Goba Systems and Frameworks for Computational Morphology: Second International …, 2011	24	2011
Tilde’s parallel corpus filtering methods for WMT 2018 M Pinnis Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018	23	2018
Latvian and Lithuanian named entity recognition with TildeNER M Pinnis Seed 40, 37, 2012	22	2012
Context Independent Term Mapper for European Languages M Pinnis Recent Advances in Natural Language Processing (RANLP 2013), 562--570, 2013	21	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	19	2012
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	14	2016
Dynamic Terminology Integration Methods in Statistical Machine Translation M Pinnis Proceedings of the Eighteenth Annual Conference of the European Association …, 2015	14	2015
NMT or SMT: case study of a narrow-domain English-Latvian post-editing project I Skadiņa, M Pinnis Proceedings of the Eighth International Joint Conference on Natural Language …, 2017	13	2017
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	12	2020

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