LexMan-ChunkerTokenizer is a tokenizer and sentence splitter tool. Marks sentence boundaries, multi-word boundaries. Size: Lemmas verbs: 12 995; Lemmas nouns and adj: 38 180; Lemmas adverbs: 7 250; Compound words: 35 201. Language: Portuguese.

Based on the MXPOST part of speech tagger and UNITEX dictionaries for Portuguese, this tool produces the lemmas of the words of a text stored in a plain text file. The source code is also provided.

ixa-pipe-pos-eu is a robust and wide-coverage morphological analyser and a Part-of-Speech tagger for Basque. The analyser is based on the two-level formalism and has been designed in an incremental way with three main modules: the standard analyser, the analyser of linguistic variants, and the...

ixa-pipe-ned-ukb is a multilingual Named Entity Disambiguation tool. It is based on UKB (http://ixa2.si.ehu.es/ukb/), a graph-based Word Sense Disambiguation tool. The Wikipedia graph built from the hyperlinks between Wikipedia articles is used for the processing. The input of the tool is ...

ixa-pipe-dep-eu is a Basque dependency parsing tool. It is based on MATE-tools. This tool takes a document in Natural Language Processing Annotation Format (NAF) format (http://wordpress.let.vupr.nl/naf/) and outputs a new NAF document. This tool is partly funded by the European Commission ...

ixa-pipe-coref-eu is a Basque coreference resolution tool, which is an adaptation of Stanford Deterministic Coreference Resolution (http://www-nlp.stanford.edu/downloads/dcoref.shtml). This tool reads a text document annotated with lemmas, named entities and constituents formated in Natural La...

Grafone-Tool is a tool for conversion from grapheme to phoneme for European Portuguese. The converter works with the Portuguese spelling, both prior to and after the Orthographic Agreement of 1990.

GistSumm (GIST SUMMarizer) is a summarization tool for Portuguese. It uses the gist as a guideline to identify and select text segments to include in the final extract. Automatically produced extracts have been evaluated under the light of gist preservation and textuality.

The GENIA tagger analyzes English sentences and outputs the base forms, part-of-speech tags, chunk tags, and named entity tags. The tagger is specifically tuned for biomedical text such as MEDLINE abstracts.

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).