2026-08-17T09:37:17Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:10885 2024-03-06T10:30:45Z ddc:004 open_access

Improving NLTK for Processing Portuguese Ferreira, João Gonçalo Oliveira, Hugo Rodrigues, Ricardo NLP Tokenization PoS tagging Lemmatization Named Entity Recognition Python has a growing community of users, especially in the AI and ML fields. Yet, Computational Processing of Portuguese in this programming language is limited, in both available tools and results. This paper describes NLPyPort, a NLP pipeline in Python, primarily based on NLTK, and focused on Portuguese. It is mostly assembled from pre-existent resources or their adaptations, but improves over the performance of existing alternatives in Python, namely in the tasks of tokenization, PoS tagging, lemmatization and NER. Schloss Dagstuhl – Leibniz-Zentrum für Informatik João Ferreira and Hugo Gonçalo Oliveira and Ricardo Rodrigues 2019 Is Part Of OASIcs, Volume 74, 8th Symposium on Languages, Applications and Technologies (SLATE 2019) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.SLATE.2019.18 urn:nbn:de:0030-drops-108852 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2019.18 eng https://creativecommons.org/licenses/by/3.0/legalcode