Whole Word Morphologizer: Expanding the Word- Based Lexicon: A Nonstochastic Computational Approach  

Oleh:

Neuvel, Sylvain

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Brain and Language (Full Text) vol. 81 no. 1-3 (2002), page 454-463.
Topik: computational word-based morphology; automatic acquisition; generation; machine learning
Fulltext: 81_01-03_Neuvel.pdf (44.91KB)

Isi artikel

Whole Word Morphologizer is a small computer implementation of word-based morphology. The program automatically identifies morphological relations in a small word-based lexicon, literally learning its morphology, and uses the knowledge it acquires to generate new words. It is based on a model of the mental lexicon in which all entries are whole, entire, fully fledged words and relies solely on basic cognitive principles (differentiation and generalization) for the automatic acquisition of morphological relations and the population of the lexicon.

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