A Neural Network Based Morphological Analyser of the Natural Language
نویسندگان
چکیده
The paper proposes a morphological analyser supported by a neural network to in ect 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 con rm that both objectives are ful lled by the proposed neural network based morphological analyser. The common words are in ected 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, in ect with a quality reaching 93.3%.
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