This paper aims to present the formal framework in which the interdisciplinary study of natural language is conducted by integrating linguistics, computer science and biology. It provides an overview of the field of research, conveying the main biological ideas that have influenced research in linguistics. Especially, this work highlights the main methods of molecular computing that have been applied to the processing and study of the structure of natural language. Among them, DNA computing, membrane computing and NEPs are the most relevant computational architectures that have been adapted to account for one of the most unknown cognitive capacities of human beings. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Bel-Enguix, G. (2009). Computing natural language with biomolecules: Overview and challenges. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5601 LNCS, pp. 325–335). https://doi.org/10.1007/978-3-642-02264-7_34
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