Anabela Barreiro

ORCID: 0000-0001-9521-3006
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About
Contact & Profiles
Research Areas
  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech and dialogue systems
  • Text Readability and Simplification
  • Linguistics and Education Research
  • Translation Studies and Practices
  • Semantic Web and Ontologies
  • linguistics and terminology studies
  • Syntax, Semantics, Linguistic Variation
  • Spanish Linguistics and Language Studies
  • Linguistic Studies and Language Acquisition
  • Language, Metaphor, and Cognition
  • Linguistics and Language Studies
  • Mobile Crowdsensing and Crowdsourcing
  • Software Engineering Research
  • Health Education and Validation
  • Digital Rights Management and Security
  • Education and Digital Technologies
  • Digital Communication and Language
  • Wikis in Education and Collaboration
  • Advanced Scientific Research Methods
  • Social Sciences and Policies
  • Public Health in Brazil
  • Advanced Text Analysis Techniques
  • Web Data Mining and Analysis

Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
2016-2025

Institute for Systems Engineering and Computers
2024-2025

Universidade do Porto
2009-2018

New York University
2008

University of Lisbon
2004

<ns3:p>In the framework of Multi3Generation COST Action (CA18231), we have provided OpenLogos tools and resources to community with belief that (i) they can be beneficial Early Research Career researchers (ii) also assist startup companies limited in initiating endeavors create their Natural Language Generation, Machine Translation, Paraphrasing or other Processing systems. In this article, explore capabilities an industry case scenario. We provide historical background on proven importance...

10.12688/openreseurope.16866.1 article EN cc-by Open Research Europe 2024-05-28

Non-adjacent linguistic phenomena such as non-contiguous multiwords and other phrasal units containing insertions, i.e., words that are not part of the unit, difficult to process remain a problem for NLP applications.Non-contiguous multiword common across languages constitute some most important challenges high quality machine translation.This paper presents an empirical analysis multiwords, highlights our use Logos Model Semtab function deploy semantic knowledge align with goal translate...

10.18653/v1/w16-0903 article EN cc-by 2016-01-01
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