LX-AP was created from the translation of Almuhareb-Poesio (ap) benchmark (Almuhareb and Poesio, 2005). The original data set was created considering three aspects: POS, frequency and ambiguity. It contains 402 names from 21 categories of WordNet, with 13 to 21 names from each one of those categ...
The test set described in was used as the basis for the assessment of word embeddings. An example entry in this data set would read: ‘Berlin Germany Lisbon Portugal’. With these four words relations – as in this example – one can test semantic analogies by using any of the possible combinations o...
ExtraGLUE-instruct is a data set with examples from tasks, with instructions and with prompts that integrate instructions and examples, for both the European variant of Portuguese, spoken in Portugal, and the American variant of Portuguese, spoken in Brazil. For each variant, it contains over 170...
CIPM-POS is a set of historical, religious, notarial, literary texts in prose and verse, written is medieval portuguese. It contains around 88000 words.
Hesita-POS is an annotaded corpus. Tv News.
PicName (see Castro et al., 1997, 1999; Gomes et al., 2006; Neves et al., 1995) is a picture-naming task that can be used to collect spontaneous speech samples and to measure articulation abilities in Portuguese-speaking children. It is an updated version of the Sounds-in-Words task included in t...
TeP 2.0 is a wordnet-like semantic resource for the Brazilian Portuguese language. It includes the words of the language and the synonym and antonym relations that happen among them.
Embeddings used in: Branco, António, João Rodrigues, Małgorzata Salawa, Ruben Branco and Chakaveh Saedi, 2020. Comparative Probing of Lexical Semantics Theories for Cognitive Plausibility and Technological Usefulness. In Proceedings of the International Conference on Computational Linguistics (C...
This resource includes a spoken corpus with approximately 300.000 words, covering both formal (152.755 words) and informal (165.838 words) speech, with aligned sound and orthographic transcription and POS-tag information.
LX-UDParser is a UD parser for Portuguese, which adopts the Universal Dependency framework, with an initial performance of 90.87 for UAS and 88.01 for LAS under a ten-fold cross validation scheme. It is described in this article: António Branco, João Ricardo Silva, Luís Gomes and João Rodri...