ParaCrawl release 7 Portuguese-English

Portuguese-English parallel from release 7 of the ParaCrawl project, specifically "Broader Web-Scale Provision of Parallel Corpora for European Languages". This version is filtered with BiCleaner with a threshold of 0.5. Data was crawled from the web following robots.txt, as is standard practice....

Resource Type:Corpus
Media Type:Text
Languages:English
Portuguese
Basque Postedition corpus

Corpus of raw and manual post-edited translations (50.204 words). It was created by manual post-editing of the Basque outputs given by Matxin RBMT system translating 100 entries from the Spanish Wikipedia.

Resource Type:Corpus
Media Type:Text
Language:Basque
CRPC-Quotations

Database with 2.253 citations extracted from the Corpus de Referência do Português Contemporâneo - CRPC (Reference Corpus of Contemporary Portuguese) and manually revised. Format: tab separated file Fields: - context number - source file id - citation

Resource Type:Corpus
Media Type:Text
Language:Portuguese
A Tweet Dataset Annotated in Four Emotion Dimensions

A corpus of 2,019 tweets annotated along each of four emotion dimensions: Valence, Dominance, Arousal and Surprise. Two annotation schemes are used: a 5-point ordinal scale (using SAM manikins for Valence, Arousal and Dominance) and pair-wise comparisons with an "about the same" option (here 2,01...

Resource Type:Corpus
Media Type:Text
Language:English
Laws of Malta - Maltese

The corpus contains the Laws of Malta in Maltese from the official government website. The unannotated raw text files were extracted from the pdf files that can be found on the website.

Resource Type:Corpus
Media Type:Text
Language:Maltese
Affect in Tweets PT

This is a data set of Portuguese tweets labeled with the emotion conveyed in the tweet. It was gathered using a methodology similar to the one used for building the Affect in Tweets data set used in the SemEval-2018 Task 1. The data set contains 11219 tweets, each labeled with an emotion (anger,...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
LX-DSemVectors

LX-DSemVectors is distributional lexical semantics model, also known as word embeddings, for Portuguese (Rodrigues et al., 2016). This version, 2.2b, was trained on a corpus of 2 billion tokens and achieved state-of-the-art results on multiple lexical semantic tasks (Rodrigues & Branco, 2018). ...

Resource Type:Lexical / Conceptual
Media Type:Text
Language:Portuguese
MBT – Memory-Based Tagger-Generator and Tagger

MBT is a memory-based tagger-generator and tagger in one. The tagger-generator part can generate a sequence tagger on the basis of a training set of tagged sequences; the tagger part can tag new sequences. MBT can, for instance, be used to generate part-of-speech taggers or chunkers for natural l...

Resource Type:Tool / Service
Treat

Treat is a toolkit for natural language processing and computational linguistics in Ruby. The Treat project aims to build a language- and algorithm- agnostic NLP framework for Ruby with support for tasks such as document retrieval, text chunking, segmentation and tokenization, natural language pa...

Resource Type:Tool / Service
Embeddings for Comparative Probing of Lexical Semantics Theories

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...

Resource Type:Lexical / Conceptual
Media Type:Text
Language:Portuguese

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