Gorka Labaka

45 papers receiving 822 citations

Peers

Gorka Labaka
Comparison fields: 5 of 56
  • Artificial Intelligence 818
  • Computer Vision and Pattern Recognition 142
  • Information Systems 53
  • Human-Computer Interaction 53
  • Molecular Biology 45
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Grzegorz Chrupała Netherlands
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Citations per year

Countries citing papers authored by Gorka Labaka

Since Specialization
Citations

This map shows the geographic impact of Gorka Labaka'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 Gorka Labaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gorka Labaka more than expected).

Fields of papers citing papers by Gorka Labaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gorka Labaka. 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 Gorka Labaka. The network helps show where Gorka Labaka may publish in the future.

Co-authorship network of co-authors of Gorka Labaka

This figure shows the co-authorship network connecting the top 25 collaborators of Gorka Labaka. A scholar is included among the top collaborators of Gorka Labaka 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 Gorka Labaka. Gorka Labaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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6
Konbitzul: an MWE-specific database for Spanish-Basque
1
7
Building Named Entity Recognition Taggers via Parallel Corpora
7
8 237
9
Domain Adaptation in MT Using Titles in Wikipedia as a Parallel Corpus: Resources and Evaluation
1
10
Using linguistic data for English and Spanish verb-noun combination identification
3
11
Detecting the central units in two different genres and languages: a preliminary study of Brazilian Portuguese and Basque texts
5
12
Lexical semantics, Basque and Spanish in QTLeap: Quality Translation by Deep Language Engineering Approaches
2
13
Comparison of post-editing productivity between professional translators and lay users.
18
14
Developing an Open-Source FST Grammar for Verb Chain Transfer in a Spanish-Basque MT System
1
15
Matxin-Informatika: versión del traductor Matxin adaptada al dominio de la informática
0
16
Plagiarism Detection across Distant Language Pairs
71
17
Evaluación de un sistema de traducción automática basado en reglas o por qué BLEU sólo sirve para lo que sirve
2
18
Spanish-to-Basque MultiEngine Machine Translation for a Restricted Domain
1
19
Strategies for sustainable MT for Basque: incremental design, reusability, standardization and open-source
3
20
Comparing rule-based and data-driven approaches to Spanish-to-Basque machine translation
14

About Gorka Labaka

Gorka Labaka is a scholar working on Artificial Intelligence, Language and Linguistics and Cultural Studies, having authored 51 papers that have together received 908 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (46 papers), Topic Modeling (37 papers) and Text Readability and Simplification (10 papers). The work is most often cited by research in Artificial Intelligence (818 citations), Human-Computer Interaction (53 citations) and Computer Vision and Pattern Recognition (142 citations). Gorka Labaka has collaborated with scholars based in Spain, United States and Qatar. Frequent co-authors include Eneko Agirre, Mikel Artetxe, Kepa Sarasola, Adrián Núñez-Marcos, Alberto Barrón‐Cedeño, Paolo Rosso, Arantza Díaz de Ilarraza, Oscar Sainz, Oier López de Lacalle and Iñaki Alegria. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and Human Reproduction.

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.

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