Institution · Tilde (Latvia)
Most cited papers from Tilde (Latvia)
What are the most cited papers from Tilde (Latvia)?
The most cited paper from Tilde (Latvia) is "Data Science in Healthcare: Benefits, Challenges and Opportunities" (Ziawasch Abedjan et al., 2019), with 36 citations. Next come "An Investigation of Software Development Process Terminology" (35) and "Lynx: A knowledge-based AI service platform for content processing, enrichment and analysis for the legal domain" (28).
Showing 50 of 64 papers. Every paper is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Data Science in Healthcare: Benefits, Challenges and Opportunities Ziawasch Abedjan et al. | 2019 | 36 |
| 2 | An Investigation of Software Development Process Terminology Paul M. Clarke, Antoni‐Lluís Mesquida, Damjan Ekert et al. · Communications in computer and information science | 2016 | 35 |
| 3 | Lynx: A knowledge-based AI service platform for content processing, enrichment and analysis for the legal domain Julián Moreno Schneider, Georg Rehm, Elena Montiel-Ponsoda et al. · Information Systems | 6 Dec 2021 | 28 |
| 4 | A Collection of Comparable Corpora for Under-resourced Languages Skadiņa Inguna, Ahmet Aker, Voula Giouli et al. · Frontiers in artificial intelligence and applications | 2010 | 24 |
| 5 | The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe Georg Rehm et al. · arXiv (Cornell University) | 30 Mar 2020 | 23 |
| 6 | Refactoring Software Development Process Terminology Through the Use of Ontology Paul M. Clarke, Antoni Lluís Mesquida Calafat, Damjan Ekert et al. · Communications in computer and information science | 2016 | 19 |
| 7 | Improving SMT for Baltic Languages with Factored Models Raivis Skadiņš, Kārlis Goba, Valters Šics | 2010 | 19 |
| 8 | ACCURAT Toolkit for Multi-Level Alignment and Information Extraction from Comparable Corpora Mārcis Pinnis, Radu Ion, Dan Ştefvanescu et al. | 10 Jul 2012 | 18 |
| 9 | The QT21/HimL Combined Machine Translation System Jan-Thorsten Peter et al. | 2016 | 12 |
| 10 | Maximum Entropy Model for Disambiguation of Rich Morphological Tags Mārcis Pinnis, Kārlis Goba · Communications in computer and information science | 2011 | 11 |
| 11 | The Strategic Impact of META-NET on the Regional, National and International Level Georg Rehm et al. · Language Resources and Evaluation | May 2014 | 10 |
| 12 | The European Assistive Technology Information Portal (EASTIN): Improving Usability through Language Technologies Valerio Gower, Renzo Andrich, Andrea Agnoletto et al. · Lecture notes in computer science | 2012 | 10 |
| 13 | Rethinking Summarization and Storytelling for Modern Social Multimedia Stevan Rudinac, Tat‐Seng Chua, Nicolás E. Díaz Ferreyra et al. · Lecture notes in computer science | 2018 | 8 |
| 14 | Intent Detection System Based on Word Embeddings Kaspars Balodis, Daiga Deksne · Lecture notes in computer science | 2018 | 7 |
| 15 | Deep Dive Machine Translation Inguna Skadiņa, Andrejs Vasiļjevs, Mārcis Pinnis et al. · Cognitive technologies | 2023 | 6 |
| 16 | Portable Extraction of Partially Structured Facts from the Web Andrew Salway, Liadh Kelly, Inguna Skadiņa et al. · Lecture notes in computer science | 2010 | 6 |
| 17 | Extended CFG Formalism for Grammar Checker and Parser Development Daiga Deksne, Inguna Skadiņa, Raivis Skadiņš · Lecture notes in computer science | 2014 | 6 |
| 18 | LetsMT! --Online Platform for Sharing Training Data and Building User Tailored Machine Translation Andrejs Vasiļjevs, Tatiana Gornostay, Raivis Skadiņš | 8 Aug 2010 | 6 |
| 19 | Comparison of Deep Learning Approaches for Lithuanian Sentiment Analysis Jurgita Kapočiūtė-Dzikienė, Askars Salimbajevs · Baltic Journal of Modern Computing | 2022 | 5 |
| 20 | Automatic Speech Recognition Model Adaptation to Medical Domain Using Untranscribed Audio Askars Salimbajevs, Jurgita Kapočiūtė-Dzikienė · Communications in computer and information science | 2022 | 4 |
| 21 | Language Technology Platform for Public Administration Raivis Skadiņš, Mārcis Pinnis, Artūrs Vasiļevskis et al. · Frontiers in artificial intelligence and applications | 15 Sep 2020 | 4 |
| 22 | Statistical and Neural Methods for Cross-lingual Entity Label Mapping in Knowledge Graphs Gabriel Amaral, Mārcis Pinnis, Inguna Skadiņa et al. · Lecture notes in computer science | 2022 | 3 |
| 23 | The German EU Council Presidency Translator Mārcis Pinnis, Stephan Busemann, Artūrs Vasiļevskis et al. · Künstliche Intell. | 21 Oct 2021 | 3 |
| 24 | Natural Language Based Posting Account Classification Zigmunds Beļskis, Marita Zirne, Viesturs Slaidiņš et al. · Baltic Journal of Modern Computing | 2021 | 3 |
| 25 | Features and Methods for Automatic Posting Account Classification Zigmunds Beļskis, Marita Zirne, Mārcis Pinnis · Communications in computer and information science | 2020 | 3 |
| 26 | Using sub-word n-gram models for dealing with OOV in large vocabulary speech recognition for Latvian Askars Salimbajevs, Jevgenijs Strigins · DSpace repository (University of Tartu) | 6 May 2015 | 3 |
| 27 | Large Language Models for Multilingual Slavic Named Entity Linking Rinalds Vīksna, Inguna Skadiņa, Daiga Deksne et al. | 2023 | 2 |
| 28 | Deep Dive Text Analytics and Natural Language Understanding Jose Manuél Gómez-Pérez, Andrés García-Silva, Cristian Berrio et al. · Cognitive technologies | 2023 | 2 |
| 29 | A Workflow for Supplementing a Latvian-English Dictionary with Data from Parallel Corpora and a Reversed English-Latvian Dictionary Daiga Deksne, Andrejs Veisbergs · Znanstvena založba Filozofske fakultete | 21 Aug 2018 | 2 |
| 30 | Automatic Removal of Identifying Information in Official EU Languages for Public Administrations: The MAPA Project Lucie Gianola et al. · Frontiers in artificial intelligence and applications | Dec 2020 | 2 |
| 31 | Interactive Learning of Dialog Scenarios from Examples Daiga Deksne, Raivis Skadiņš · Frontiers in artificial intelligence and applications | 15 Sep 2020 | 2 |
| 32 | Towards the Development of Language Analysis Tools for the Written Latgalian Language Daiga Deksne, Anna Vulāne · Frontiers in artificial intelligence and applications | 15 Sep 2020 | 2 |
| 33 | Proceedings of the 2010 conference on Human Language Technologies -- The Baltic Perspective: Proceedings of the Fourth International Conference Baltic HLT 2010 Inguna Skadiņa, Andrejs Vasiļjevs | 8 Aug 2010 | 2 |
| 34 | Extracting Data from Comparable Corpora Mārcis Pinnis, Nikola Ljubešić, Dan C. Stefanescu et al. · Theory and applications of natural language processing | 2019 | 2 |
| 35 | Integration of Neural Machine Translation Systems for Formatting-Rich Document Translation Mārcis Pinnis, Raivis Skadiņš, Valters Šics et al. · Lecture notes in computer science | 2018 | 2 |
| 36 | The QT21 Combined Machine Translation System for English to Latvian Jan-Thorsten Peter, Hermann Ney, Ondřej Bojar et al. | 2017 | 2 |
| 37 | Towards the Automated Enrichment of Multilingual Terminology Databases with Knowledge-Rich Contexts - Experiments with Russian EuroTermBank Data Anne-Kathrin Schumann | 11 Jun 2012 | 2 |
| 38 | Consolidating European Multilingual Terminology across Languages and Domains Tatiana Gornostay, Roberts Rozis, Andrejs Vasiļjevs et al. | 11 Jun 2012 | 2 |
| 39 | Baltic and Nordic Parts of the European Linguistic Infrastructure Inguna Skadiņa, Andrejs Vasiļjevs, Lars Borin et al. · DSpace repository (University of Tartu) | 17 May 2013 | 2 |
| 40 | Enabling users to create their own web-based machine translation engine Andrejs Vasiļjevs, Raivis Skadiņš, Indra Samite | 16 Apr 2012 | 2 |
| 41 | Domain Adaptation in Statistical Machine Translation Using Comparable Corpora: Case Study for English Latvian IT Localisation Mārcis Pinnis, Inguna Skadiņa, Andrejs Vasiļjevs · Lecture notes in computer science | 2013 | 2 |
| 42 | Towards the Development of the Multilingual Multimodal Virtual Agent I Kutsenko Vira, Jānis Teseļskis, Inguna Skadiņa · Lecture notes in computer science | 2014 | 2 |
| 43 | Deep Dive Speech Technology Marcin Skowron, Gerhard Backfried, Eva Navas et al. · Cognitive technologies | 2023 | 1 |
| 44 | The Semi–Algorithmic Approach to Formation of Latvian Information and Communication Technology Terms Dace Šostaka, Juris Borzovs, Eduards Cauna et al. · Baltic Journal of Modern Computing | 2023 | 1 |
| 45 | Latvian Language in the Digital Age: The Main Achievements in the Last Decade Inguna Skadiņa, Baiba Saulīte, Ilze Auziņa et al. · Baltic Journal of Modern Computing | 2022 | 1 |
| 46 | Introduction Inguna Skadiņa, Robert Gaizauskas, Andrejs Vasiļjevs et al. · Theory and applications of natural language processing | 2019 | 1 |
| 47 | Predicting Next Dialogue Action in Emotionally Loaded Conversation Daiga Deksne, Raivis Skadiņš · Lecture notes in networks and systems | 23 Oct 2021 | 1 |
| 48 | Robustness of Named Entity Recognition: Case of Latvian Rinalds Vīksna, Inguna Skadiņa · Lecture notes in computer science | 2021 | 1 |
| 49 | Robust Neural Machine Translation: Modeling Orthographic and Interpunctual Variation Toms Bergmanis, Artūrs Stafanovičs, Mārcis Pinnis · Frontiers in artificial intelligence and applications | 15 Sep 2020 | 1 |
| 50 | Training, Enhancing, Evaluating and Using MT Systems with Comparable Data Bogdan Babych, Yu April Chen, Andreas Eisele et al. · Theory and applications of natural language processing | 2019 | 1 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.