Wixarika is an indigenous language spoken in central west Mexico by approximately fifty thousand people. For indigenous languages like Wixarika, there is a lack of digital resources in general since native speakers do not necessarily generate a digital fingerprint on public forums. The lack of...

PhenoCHF is an annotated corpus consisting of documents belonging to two different text types (i.e., narrative reports from electronic health records (EHRs) and literature articles). It is manually annotated by medical doctors with detailed information relating to mentions of phenotype concepts a...

Part-of-speech tagger tuned to biomedical text. The tool is provided as a UIMA component, which forms part of the in-built library of components provided with the U-Compare platform (see separate META-SHARE record) for building and evaluating text mining workflows. The U-Compare Workbench (se...

Uplug (see Tiedemann, 2003a) is a collection of tools and scripts for processing text-corpora, for automatic alignment and for term extraction from parallel corpora. Several tools have been integrated in Uplug. Pre-processing tools include a sentence splitter, a general tokenizer and wrappers a...

This is a UIMA wrapper for the OpenNLP Sentence Detector tool. It splits English text into individual sentences. The tool forms part of the in-built library of components provided with the U-Compare platform (see separate META-SHARE record) for building and evaluating text mining workflows. ...

Transcriptions in the CIEMPIESS-PNPD are based on a phonetic alphabet called Mexbet. Mexbet was design for the Spanish of Central Mexico and it has several levels of granularity. The CIEMPIESS-PNPD comes in two versions: Mexbet T29 and Mexbet T66. Level T29 of Mexbet means that transcriptions ...

This resource includes the distributional semantic vectors used for the replication of the TakeLab system (https://github.com/nlx-group/arct-rep-rev). The TakeLab system is an automatic classifier for the Argument Reasoning Comprehension Task (https://www.aclweb.org/anthology/S18-1121/). The ...

This resource contains a pre-trained BERT language model trained on the Portuguese language. A BERT-Large cased variant was trained on the BrWaC (Brazilian Web as Corpus), a large Portuguese corpus, for 1,000,000 steps, using whole-word mask. The model is available as artifacts for TensorFlow an...

Bilingual (EN-PT) corpus acquired from website (https://ec.europa.eu/*coronavirus-response) of the EU portal (20th May 2020).

XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained models with respect to cross-lingual natural language understanding and generation. XGLUE is composed of 11 tasks spans 19 languages. For each task, the training data is only available in English. This me...