All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Early Experiments on Automatic Annotation of Portuguese Medieval Texts

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AM7D6CSYF" target="_blank" >RIV/00216208:11320/22:M7D6CSYF - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-031-16802-4_44" target="_blank" >https://doi.org/10.1007/978-3-031-16802-4_44</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-16802-4_44" target="_blank" >10.1007/978-3-031-16802-4_44</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Early Experiments on Automatic Annotation of Portuguese Medieval Texts

  • Original language description

    This paper presents the challenges and solutions adopted to the lemmatization and part-of-speech (PoS) tagging of a corpus of Old Portuguese texts (up to 1525), to pave the way to the implementation of an automatic annotation of these Medieval texts. A highly granular tagset, previously devised for Modern Portuguese, was adapted to this end. A large text ($$sim $$∼155 thousand words) was manually annotated for PoS and lemmata and used to train an initial PoS-tagger model. When applied to two other texts, the resulting model attained 91.2% precision with a textual variant of the same text, and 67.4% with a new, unseen text. A second model was then trained with the data provided by the previous three texts and applied to two other unseen texts. The new model achieved a precision of 77.3% and 82.4%, respectively.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Linking Theory and Practice of Digital Libraries

  • ISBN

    978-3-031-16802-4

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    442-449

  • Publisher name

    Springer International Publishing

  • Place of publication

  • Event location

    Cham

  • Event date

    Jan 1, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000867565900044