MIR

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MIR is a centralized repository of lexical data extracted from the WordNet3.0. It contains 117,659 UW's representing different sets of synonyms (or synsets) of English, which are expected to be associated to the corresponding lexical items of any language, whenever possible.

Contents

Goal

The main goal of the project MIR is to provide a concept-to-word multilingual database (i.e., a decoding or writer's dictionary). This dictionary is expected to be used in language-based shallow NLization, i.e., in generating natural language documents out of UNL graphs, especially through EUGENE.

The repository

MIR is based on the WordNet3.0. It contains 117,659 UW's, which correspond to the different sets of synonyms (or synsets) of English. Each UW was defined as a 9-digit string with the following format:

<POS><WORDNETID>

where:

  • <POS> = {1,2,3,4}, being 1 = noun, 2 = verb, 3 = adjective and 4 = adverb;
  • and <WORDNETID> is the synset ID in the WordNet30.

Along with the UW, we provide the definition, examples, headwords and other features extracted from the WordNet3.0.
As an English-biased repository, which is expected to cover only concepts lexicalized in English, MIR should not be mistaken by the whole UNL Dictionary, of which it is only a part. One of our goals is to assign a universality degree to each of the senses registered in the WordNet3.0 in order to decide whether they should be included in the UNL Core Dictionary, in the UNL Abridged Dictionary or in the UNL Unabridged Dictionary.

Structure

MIR is divided into 6 different subprojects according to the Frameword of Reference for UNL:

Repository Description # of entries
MIR-A1
MIR-A2
MIR-B1
MIR-B2
MIR-C1
MIR-C2

Methodology

Software