# A Lightweight Regression Method to Infer Psycholinguistic Properties for Brazilian Portuguese

arXiv: https://arxiv.org/abs/1705.07008 · HTML: https://mlsanity.com/paper/1705.07008/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 May 2017.

## Built on by (most cited first, 2 of 2)

- [NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese](https://mlsanity.com/paper/2201.03445/) (2021)
- [Text and author-level political inference using heterogeneous knowledge representations](https://mlsanity.com/paper/2206.12293/) (2022)

## Abstract (arXiv)

Psycholinguistic properties of words have been used in various approaches to Natural Language Processing tasks, such as text simplification and readability assessment. Most of these properties are subjective, involving costly and time-consuming surveys to be gathered. Recent approaches use the limited datasets of psycholinguistic properties to extend them automatically to large lexicons. However, some of the resources used by such approaches are not available to most languages. This study presents a method to infer psycholinguistic properties for Brazilian Portuguese (BP) using regressors built with a light set of features usually available for less resourced languages: word length, frequency lists, lexical databases composed of school dictionaries and word embedding models. The correlations between the properties inferred are close to those obtained by related works. The resulting resource contains 26,874 words in BP annotated with concreteness, age of acquisition, imageability and subjective frequency.