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Annotated Corpora of Historical Catalan (HisCat) - Llibre dels Fets

<p>This repository is part of the Annotated Corpora of Historical Catalan (HisCat). It contains the first POS-tagged text that is partially manually corrected and used to train Old Catalan POS taggers, described in the following paper:</p> <p>Meelen, Marieke &amp; Pujol i Campeny, Afra, (2021) &#39;Old Catalan Morphosyntax: developing an annotated corpus&#39; in <em>Journal of Open Humanities Data</em>.</p> <p>This POS-tagged text is the 13th century <em>Llibre dels Fets</em>, a historical chronicle. The version of the text used for this project is</p> <p>Bruguera, J. (1991). <em>El Llibre dels Fets del Rei en Jaume</em>. Barcelona: Barcino.</p> <p>as prepared for the <em>Corpus Informatitzat del Catal&agrave; Antic</em></p> <p>Torruella, J., P&eacute;rez Saldanya, M., &amp; Martines, J. (2009). <em>Corpus Informatitzat del Catal&agrave; Antic</em>. URL: <a href="http://cica.cat/">http://cica.cat/</a>.</p> <p>The subcorpus counts with 164,096 POS-annotated tokens (165,538 tokens including punctuation and folio markers), of which 60,000 have been manually corrected. This subcorpus contains a total of and 4,506 main clauses. POS tagging of this text was done with the Memory-Based Tagger by TiMBL (<a href="https://languagemachines.github.io/mbt/">https://languagemachines.github.io/mbt/</a>). The code accompanying the paper can be found on GitHub: <a href="https://github.com/lothelanor/catalancorpora">https://github.com/lothelanor/catalancorpora</a>). In addition to memory-based tagging, have tried neural-based tagging with TARGER (<a href="https://github.com/achernodub/targer">https://github.com/achernodub/targer</a>) for which we created word embeddings that can be found on <a href="https://doi.org/10.5281/zenodo.5615556">Zenodo</a>. Results for memory-based tagging were better, however, which is why this version is uploaded here.</p> <pre>&nbsp;</pre>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0

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