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NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese
This paper presents and makes publicly available the NILC-Metrix, a computational system comprising 200 metrics proposed in studies on discourse, psycholinguistics, cognitive and computational linguistics, to assess textual complexity in Brazilian Portuguese (BP).
A Nontrivial Sentence Corpus for the Task of Sentence Readability Assessment in Portuguese
Effective textual communication depends on readers being proficient enough to comprehend texts, and texts being clear enough to be understood by the intended audience, in a reading task.
Automatic semantic role labeling on non-revised syntactic trees of journalistic texts
The goal of this paper is to evaluate the performance of SRL on revised and non-revised syntactic trees using a larger and balanced corpus of BP journalistic texts.
Generating a Lexicon of Errors in Portuguese to Support an Error Identification System for Spanish Native Learners
Aiming to inform a module of a system designed to support scientific written production of Spanish native speakers learning Portuguese, we developed an approach to automatically generate a lexicon of wrong words, reproducing language transfer errors made by such foreign learners.
Propbank-Br: a Brazilian Treebank annotated with semantic role labels
This paper reports the annotation of a Brazilian Portuguese Treebank with semantic role labels following Propbank guidelines.
