Speakers of Dutch show clear preferences for the voice specification of final obstruents in nonce words in a way that reflects the quantitative distributional structure in the lexicon. The current generation of natural language systems for text processing being deployed on the web and in enterprise settings is uniquely different from everything that the natural language community has tried to deploy in real settings to date, for several reasons. Among the most significant changes are the sheer size of the lexical databases and the diversity of content and formats of the lexical data required by present day applications. While only 10 years ago lexicons for NLP systems were struggling to accommodate thousands of lexical forms, recent systems need to handle lexicons that are several orders of magnitude larger. A logical account of minimalist grammars Introduction to Bioinformatics Rolf Backofen, University of Munich Bioinformatics is an exciting and rapidly developing field, and focuses on solving problems arising from biology using methodology from computer science.
Examples are alignment methods, hidden Markov model and stochastic context-free grammars.
This tutorial will give an introduction to bioinformatics. It will highlight both problems that are related with NLP techniques as well as other hot topics in bioinformatics. The major stream in bioinformatics is concerned with molecular biology. Here, protein sequence, their structure and function is the main subject of investigation. Hidden Markov Models have especially been successful in describing clusters of homologous proteins.