PROPOR 2026 Best PhD/MSc Dissertation Award

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Aline Paes

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Dec 9, 2025, 10:07:54 AM12/9/25
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PROPOR 2026 is accepting submissions for its Best PhD/MSc Dissertation Award, recognizing outstanding work on the computational processing of Portuguese or Galician. Eligible candidates must have defended their thesis within the last three years (excluding submissions to the 2024 edition). Submissions include a 6-page extended abstract and an advisor letter confirming eligibility. Winners receive free conference registration, an extended abstract in the proceedings, and an invitation to present at the conference.

Deadline: January 9, 2026.

Submission: https://cmt3.research.microsoft.com/PROPOR2026 (PROPOR2026 Best Dissertations)

Conference: April 13–16, 2026, Salvador, Brazil.

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PROPOR 2026: 17th International Conference on Computational Processing of Portuguese

Salvador - BA, Brazil

April 13th to 16th 2026

https://propor2026.ufba.br/

CALL FOR BEST PhD/MSc DISSERTATION AWARD

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The PROPOR 2026 Best PhD/MSc Dissertation Award recognizes outstanding dissertations relevant to the computational processing of Portuguese and Galician. The award aims to acknowledge excellence among early-career researchers and to highlight advances in the theoretical and technological study of written and spoken Portuguese and Galician.

Award recipients will be invited to publish an extended abstract of their dissertation in the PROPOR 2026 proceedings. They will also receive free registration to the main conference as part of the award. The award winners and runners-up will be invited to present their work at the conference, either as an oral presentation or in poster format.

The Award Ceremony will take place during the PROPOR 2026 Conference.

Submission Criteria and Procedure:

Eligible submissions are those from candidates who have successfully defended their Master and PhD Thesis dissertations within the three years preceding the contest submission deadline, except for theses submitted to the previous contest held during PROPOR 2024. A letter from the primary dissertation advisor must be submitted together with the extended abstract, stating that the candidate meets this eligibility criterion.

The dissertation must focus on some aspect of the written or spoken processing of any variety of Portuguese (including the language varieties of Portugal, Brazil, Cape Verde, Guinea-Bissau, Mozambique, Angola, São Tomé, Macau, Timor) or Galician. 

Topics of interest include, but are not limited to:

  • Natural language processing tasks (e.g. parsing, word sense disambiguation, coreference resolution)

  • Natural language processing applications (e.g. question answering, subtitling, summarization, sentiment analysis)

  • Natural language generation

  • Information extraction and information retrieval

  • Speech technologies (e.g. spoken language generation, speech and speaker recognition, spoken language understanding)

  • Speech applications (e.g., spoken language interfaces, dialogue systems, speech-to-speech translation)

  • Resources, standardization and evaluation (e.g., corpora, ontologies, lexicons, grammars)

  • NLP-oriented linguistic description or theoretical analysis

  • Distributional semantics and language modeling

  • Portuguese language varieties and dialect processing (including the language varieties of Angola, Brazil, Cape Verde, East Timor, Galicia, Guinea-Bissau, Macau, Mozambique, Portugal, São Tomé and Principe)

  • Multilingual studies, methods, applications and resources, including Portuguese/Galician

Each submission must consist of two PDF files:

  • An extended abstract 

  •  A letter from the primary dissertation supervisor

Extended Abstract:

The extended abstract must describe the dissertation and should include: the research problem addressed, relevant theoretical background, hypotheses, methodology, analysis, results, and the main contributions and impacts of the work (e.g., social, economic, technological, scientific, or environmental). Candidates are encouraged to include references to any publications, formal reports, or other academic or non-academic outputs that resulted from the PhD or MSc research. These should be mentioned within the extended abstract to contextualize and support the contribution of the dissertation.


Extended abstracts must also provide a URL to access the full MSc/PhD dissertation. We recommend placing the link at the end of the document, before the references section, and using a URL shortener (e.g., tinyurl.com) for long links.


Extended abstracts are limited to 6 pages, including all figures, tables, and references, and should begin with an abstract of up to 250. The abstract must be submitted in PDF format, following the same template as the main track.


Submissions must be sent via the following URL: https://cmt3.research.microsoft.com/PROPOR2026. Please select the track: PROPOR2026 Best Dissertations.



Important dates:

  • Submission deadline: 09/01/2026 (23:59 GMT-12)

  • Notifications: 28/02/2026 (23:59 GMT-12)

  • Camera-ready: 15/03/2026 (23:59 GMT-12)

  • Conference: 13-16/04/2026 


Scientific Committee Chairs:

Marcos Garcia - Universidade de Santiago de Compostela
Aline Paes - Universidade Federal Fluminense

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Profa. Dra. Aline Paes (she/her)
Associate Professor - Computer Science (Artificial Intelligence)
Institute of Computing / Universidade Federal Fluminense (IC/UFF)
Member of  BPLN
CNPq PQ-E and FAPERJ JCNE 
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url: www.ic.uff.br/~alinepaes
Av Gal Milton Tavares de Souza, S/N, Computing Building, Office 504
São Domingos, Niterói, RJ, Brazil. ZIP 24210-346
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