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Chapitre D'ouvrage Année : 2022

Early Experiments on Automatic Annotation of Portuguese Medieval Texts

Résumé

This paper reports 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 (∼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.

Dates et versions

hal-03806812 , version 1 (08-10-2022)

Identifiants

Citer

Maria Inës Bico, Jorge Baptista, Fernando Batista, Esperança Cardeira. Early Experiments on Automatic Annotation of Portuguese Medieval Texts. Linking Theory and Practice of Digital Libraries, 13541, Springer International Publishing, pp.442-449, 2022, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-16802-4_44⟩. ⟨hal-03806812⟩

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