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ORCIDRaivis Skadins
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- unicode name: Raivis Skadiņš
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2020 – today
- 2024
[c34]Daiga Deksne
, Jurgita Kapociute-Dzikiene, Raivis Skadins:
Toward Federated Learning Through Intent Detection Research. DB&IS 2024: 79-92- 2022
- [j1]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) - [c33]Daiga Deksne, Raivis Skadins:
Virtual Assistant for Querying Databases in Natural Language. FTC (3) 2022: 555-564 - [c32]Rinalds Viksna, Inguna Skadina, Raivis Skadins, Andrejs Vasiljevs, Roberts Rozis:
Assessing Multilinguality of Publicly Accessible Websites. LREC 2022: 2108-2116 - 2020
- [c31]Daiga Deksne, Raivis Skadins:
Interactive Learning of Dialog Scenarios from Examples. Baltic HLT 2020: 87-94 - [c30]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 - [c29]Raivis Skadins, Askars Salimbajevs:
The COMPRISE Cloud Platform. IWLTP@LREC 2020: 108-111
2010 – 2019
- 2019
- [p1]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 - 2018
- [c28]Marcis Pinnis, Andrejs Vasiljevs, Rihards Kalnins, Roberts Rozis, Raivis Skadins, Valters Sics:
Tilde MT Platform for Developing Client Specific MT Solutions. LREC 2018 - [c27]Marcis Pinnis, Raivis Skadins, Valters Sics, Toms Miks:
Integration of Neural Machine Translation Systems for Formatting-Rich Document Translation. NLDB 2018: 494-497 - 2017
- [c26]Roberts Rozis, Raivis Skadins:
Tilde MODEL - Multilingual Open Data for EU Languages. NODALIDA 2017: 263-265 - 2016
- [c25]Marcis Pinnis, Rihards Kalnins, Raivis Skadins, Inguna Skadina:
What Can We Really Learn from Post-editing? AMTA (2) 2016: 86-91 - [c24]Inguna Skadina, Ilze Auzina, Daiga Deksne, Raivis Skadins, Andrejs Vasiljevs, Madara Gailuna, Ieva Portnaja:
Filling the Gaps in Latvian BLARK: Case of the Latvian IT Competence Centre. Baltic HLT 2016: 3-11 - [c23]Roberts Rozis, Andrejs Vasiljevs, Raivis Skadins:
Collecting Language Resources for the Latvian e-Government Machine Translation Platform. LREC 2016 - 2015
- [c22]Ieva Zarina, Peteris Nikiforovs, Raivis Skadins:
Word Alignment Based Parallel Corpora Evaluation and Cleaning Using Machine Learning Techniques. EAMT 2015 - 2014
- [c21]Daiga Deksne, Inguna Skadina, Raivis Skadins:
Extended CFG Formalism for Grammar Checker and Parser Development. CICLing (1) 2014: 237-249 - [c20]Raivis Skadins, Marcis Pinnis, Andrejs Vasiljevs, Inguna Skadina, Tomás Hudik:
Application of machine translation in localization into low-resourced languages. EAMT 2014: 209-216 - [c19]Janis Peisenieks, Raivis Skadins:
Uses of Machine Translation in the Sentiment Analysis of Tweets. Baltic HLT 2014: 126-131 - [c18]Raivis Skadins, Valters Sics, Roberts Rozis:
Building the World's Best General Domain MT for Baltic Languages. Baltic HLT 2014: 141-148 - [c17]Inguna Skadina, Ilze Auzina, Guntis Barzdins, Raivis Skadins, Andrejs Vasiljevs:
Language Resources and Technology in Latvia (2010-2014). Baltic HLT 2014: 227-235 - [c16]Raivis Skadins, Jörg Tiedemann, Roberts Rozis, Daiga Deksne:
Billions of Parallel Words for Free: Building and Using the EU Bookshop Corpus. LREC 2014: 1850-1855 - [c15]Inguna Skadina, Inese Vira, Janis Teselskis, Raivis Skadins:
Mobile Intelligent Virtual Agent with Translation Functionality. NLDB 2014: 258-261 - 2013
- [c14]Raivis Skadins, Marcis Pinnis, Tatiana Gornostay, Andrejs Vasiljevs:
Application of Online Terminology Services in Statistical Machine Translation. MTSummit (Posters) 2013 - 2012
- [c13]Andrejs Vasiljevs, Raivis Skadins, Jörg Tiedemann:
LetsMT!: Cloud-Based Platform for Do-It-Yourself Machine Translation. ACL (System Demonstrations) 2012: 43-48 - [c12]Daiga Deksne, Raivis Skadins:
Data Pre-Processing to Train a Better Lithuanian-English MT System. Baltic HLT 2012: 36-41 - [c11]Marcis Pinnis, Raivis Skadins:
MT Adaptation for Under-Resourced Domains - What Works and What Not. Baltic HLT 2012: 176-184 - [c10]Andrejs Vasiljevs, Raivis Skadins, Indra Samite:
Enabling users to create their own web-based machine translation engine. WWW (Companion Volume) 2012: 295-298 - 2011
- [c9]Raivis Skadins, Maris Purins, Inguna Skadina, Andrejs Vasiljevs:
Evaluation of SMT in localization to under-resourced inflected language. EAMT 2011 - [c8]Raivis Skadins, Tatiana Gornostay, Valters Sics:
Toponym Disambiguation in English-Lithuanian SMT System with Spatial Knowledge. NODALIDA 2011: 191-197 - [c7]Daiga Deksne, Raivis Skadins:
CFG based grammar checker for Latvian. NODALIDA 2011: 275-278 - 2010
- [c6]Raivis Skadins:
Spatial Ontology in Factored Statistical Machine Translation. DB&IS 2010: 153-166 - [c5]Inguna Skadina, Ilze Auzina, Normunds Gruzitis, Kristine Levane-Petrova, Gunta Nespore, Raivis Skadins, Andrejs Vasiljevs:
Language Resources and Technology for the Humanities in Latvia (2004-2010). Baltic HLT 2010: 15-22 - [c4]Raivis Skadins, Karlis Goba, Valters Sics:
Improving SMT for Baltic Languages with Factored Models. Baltic HLT 2010: 125-132 - [c3]Andrejs Vasiljevs, Tatiana Gornostay, Raivis Skadins:
LetsMT! - Online Platform for Sharing Training Data and Building User Tailored Machine Translation. Baltic HLT 2010: 133-140
2000 – 2009
- 2008
- [c2]Daiga Deksne, Raivis Skadins, Inguna Skadina:
Dictionary of Multiword Expressions for Translation into highly Inflected Languages. LREC 2008 - 2007
- [c1]Inguna Skadina, Andrejs Vasiljevs, Daiga Deksne, Raivis Skadins, Linda Goldberga:
Comprehension Assistant for Languages of Baltic States. NODALIDA 2007: 167-174
Coauthor Index
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last updated on 2024-08-05 21:17 CEST by the dblp team
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