This paper describes a natural language processing system reinforced by the use of association of words and concepts, implemented as a neural network. Combining an associative network with a conventional system contributes to semantic disambiguation in the process of interpretation. The model is employed within a kana-kanji conversion system and the advantages over conventional ones are shown.
CITATION STYLE
Kimura, K., Suzuoka, T., & Amano, S. Y. (1992). Association-based natural language processing with neural networks. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 1992-June, pp. 224–231). Association for Computational Linguistics (ACL). https://doi.org/10.3115/981967.981996
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