This dataset is a collection of dialogues extracted from the Portugal subreddit with RDET (Reddit Dataset Extraction Tool). It is composed of around 58,964,715 tokens in 218,550 dialogues.
The part of speech tagger for Maltese is based on TnT, the statistical part of speech tagger by Thorsten Brants (http://www.coli.uni-saarland.de/~thorsten/tnt/). It was modified for the Maltese Language Resource Server (MLRS) by Albert Gatt (Linguistics Department, University of Malta). The mode...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Carries out syntactic parsing on plain text Tools in workflow: Cafetiere Sentence Splitter (University of Manchester), OpenNLP Tokenizer (Apache), STEPP Tagger (University of Manchester), ...
This is a UIMA wrapper for the OpenNLP Tokenizer tool. It assigns part-of-speech tags to tokens in English text. The tagset used in from the Penn Treebank). The tool forms part of the in-built library of components provided with the U-Compare platform (Kano et al., 2009; Kano et al., 2011; see se...
The OntoLP system is a plug-in for the construction environment of the ontologies Protégé. The plug-in intents to be an assistant for the engineer of ontologies for Portuguese during the execution of initial steps concerning the ontologies construction: extraction of terms which are candidates fo...
142,397 Maltese texts from 10 genres. The file “corpus.zip” expands into a folder “corpus”, containing the file “tagged.zip”, which expands into the folder “cwb.final”. This folder contains the files: • filelist.txt • malti02.academic.txt • malti02.law.txt • malti02.literature.txt • malti...
The Complex Word (CW) Corpus contains 731 sentences each with one annotated CW. These simplifications were mined from Simple Wikipedia edit histories. Each entry gives an example of a sentence requiring simplification by means of a single lexical edit. This resource is primarily designed for t...
This resource is part of Deliverable 4.6 of the QTLeap FP7 project (Contract number 610516). In its current development (15% of the intended goal of the project), it is composed of 150 sentences (1,416 English tokens and 1,275 Basque tokens). The sentences are excerpts from journalistic text from...
FORMA is a probabilistic tool for morphological tagging and lemmatization of text. The purpose of this tool is to obtain annotated text to be processed by other NLP tools (see Gonzalez et al., 2006).
The resource constitues of a hierarchically-structured system of data types, which is intended to be suitable for describing the inputs and output annotation types of a wide range of natural language processing applications which operate within the UIMA Framework. It is being developed in conjunc...