Inguna Skadiņa
- Artificial Intelligence top 10%
- Language and Linguistics top 10%
- Information Systems
- Molecular Biology
- Computer Vision and Pattern Recognition
- Co-authors
- Lucia SpeciaKevin R. HarrisAljoscha BurchardtMarco TurchiMārcis PinnisMatteo NegriBogdan BabychRadu Ion
- Topics
- Natural Language Processing Techniques (24 papers)Topic Modeling (17 papers)Semantic Web and Ontologies (8 papers)
- Journals
- Language Resources and EvaluationBaltic Journal of Modern ComputingUvA-DARE (University of Amsterdam)
- Partner nations
- LatviaUnited KingdomRomania
In The Last Decade
Inguna Skadiņa
26 papers receiving 107 citations
Peers
Comparison fields: 5 of 18
- Artificial Intelligence 122
- Language and Linguistics 28
- Information Systems 13
- Molecular Biology 8
- Computer Vision and Pattern Recognition 8
Countries citing papers authored by Inguna Skadiņa
This map shows the geographic impact of Inguna Skadiņa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Inguna Skadiņa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inguna Skadiņa more than expected).
Fields of papers citing papers by Inguna Skadiņa
This network shows the impact of papers produced by Inguna Skadiņa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Inguna Skadiņa. The network helps show where Inguna Skadiņa may publish in the future.
Co-authorship network of co-authors of Inguna Skadiņa
This figure shows the co-authorship network connecting the top 25 collaborators of Inguna Skadiņa. A scholar is included among the top collaborators of Inguna Skadiņa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Inguna Skadiņa. Inguna Skadiņa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | Competitiveness Analysis of the European Machine Translation Market | 4 |
| 6 | NMT or SMT: Case Study of a Narrow-domain English-Latvian Post-editing Project | 4 |
| 7 | What Can We Really Learn from Post-editing? | 1 |
| 8 | 1 | |
| 9 | 6 | |
| 10 | Collecting and Using Comparable Corpora for Statistical Machine Translation | 22 |
| 11 | Creation of an Open Shared Language Resource Repository in the Nordic and Baltic Countries | 3 |
| 12 | ACCURAT Toolkit for Multi-Level Alignment and Information Extraction from Comparable Corpora | 11 |
| 13 | Consolidating European Multilingual Terminology across Languages and Domains | 1 |
| 14 | META-NORD: Towards Sharing of Language Resources in Nordic and Baltic Countries | 2 |
| 15 | Evaluation of SMT in localization to under-resourced inflected language | 17 |
| 16 | English-Latvian SMT: the challenge of translating into a free word order language | 3 |
| 17 | Towards improving English-Latvian translation: a system comparison and a new rescoring feature | 1 |
| 18 | English-Latvian Toponym Processing: Translation Strategies and Linguistic Patterns. | 0 |
| 19 | Dictionary of Multiword Expressions for Translation into highly Inflected Languages | 5 |
| 20 | Cross-lingual document retrieval categorisation and navigation based on distributed services | 2 |
About Inguna Skadiņa
Inguna Skadiņa is a scholar working on Artificial Intelligence, Language and Linguistics and Information Systems, having authored 30 papers that have together received 133 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (24 papers), Topic Modeling (17 papers) and Semantic Web and Ontologies (8 papers). The work is most often cited by research in Artificial Intelligence (122 citations), Language and Linguistics (28 citations) and Communication (6 citations). Inguna Skadiņa has collaborated with scholars based in Latvia, United Kingdom and Romania. Frequent co-authors include Lucia Specia, Kevin R. Harris, Aljoscha Burchardt, Marco Turchi, Mārcis Pinnis, Matteo Negri, Bogdan Babych, Radu Ion, Paul Clough and Ahmet Aker. Their work appears in journals such as Language Resources and Evaluation, Baltic Journal of Modern Computing and UvA-DARE (University of Amsterdam).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.