Automatically generated corpus of 98,818 graph/string pairs.
The NPChunks training corpus contains approximately 1,000 sentences, in a total of 24,243 tokens, selected randomly from the written part of the CINTIL corpus (Barreto et al, 2006). The CINTIL corpus is a linguistically interpreted corpus of Portuguese composed of 1 Million annotated tokens from ...
The News corpus developed by LIACC in JSON format was complemented with POS and keyword topics annotation. POS-tagging =========== The POS-tagging used the tagger described in Généreux et al. (2012) The title and text body were extracted, tokenized and pos-tagged. Two new fields were added...
The web service is a tool which takes text as input and returns a list of tokens. The tokens can be orthographical words, numerals and punctuation marks. The tokeniser was designed to work on Maltese texts. The download for this resource only contains the narrative description in a Word file. ...
This research proposes a corpus of popular Brazilian Portuguese, called CorPop, with texts selected based on the average level of literacy of the country's readers. CorPop’s theoretical and methodological bases are interdisciplinary and fall within the scope of Language Studies and related discip...
A burst-annotated co-occurrence network about the Arab Spring topic built on the top of New York Times article snapshots from the years 2010-2013.
Terms of Social Webs
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...
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.
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,...