A Neural Network Based Morphological Analyser of the Natural Language

摘要

The paper proposes a morphological analyser supported by a neural network to inflect words written in Polish. The approach can be also applied to other languages. The main task of the analyser is to create base forms from the analysed words' forms. Other objective is to provide grammatical information for the analysed form. Computational experiment results confirm that both objectives are fulfilled by the proposed neural network based morphological analyser. The common words are inflected with a very high quality of nearly 99.9%. Other words like geographical names and people's names, thanks to the incorporation of neural network, inflect with a quality reaching 93.3%.