  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). These metrics are relevant for
descriptive analysis and the creation of computational models and can be used
to extract information from various linguistic levels of written and spoken
language. The metrics in NILC-Metrix were developed during the last 13 years,
starting in 2008 with Coh-Metrix-Port, a tool developed within the scope of the
PorSimples project. Coh-Metrix-Port adapted some metrics to BP from the
Coh-Metrix tool that computes metrics related to cohesion and coherence of
texts in English. After the end of PorSimples in 2010, new metrics were added
to the initial 48 metrics of Coh-Metrix-Port. Given the large number of
metrics, we present them following an organisation similar to the metrics of
Coh-Metrix v3.0 to facilitate comparisons made with metrics in Portuguese and
English. In this paper, we illustrate the potential of NILC-Metrix by
presenting three applications: (i) a descriptive analysis of the differences
between children's film subtitles and texts written for Elementary School I and
II (Final Years); (ii) a new predictor of textual complexity for the corpus of
original and simplified texts of the PorSimples project; (iii) a complexity
prediction model for school grades, using transcripts of children's story
narratives told by teenagers. For each application, we evaluate which groups of
metrics are more discriminative, showing their contribution for each task.
