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Grammars for Language and Genes [electronic resource] : Theoretical and Empirical Investigations / by David Chiang.

By: Chiang, David [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Theory and Applications of Natural Language Processing: Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012Description: XII, 120 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642204449.Subject(s): Computer science | Translators (Computer programs) | Bioinformatics | Computer Science | Mathematical Logic and Formal Languages | Language Translation and Linguistics | Computational Biology/BioinformaticsDDC classification: 005.131 Online resources: Click here to access online
Contents:
1.Introduction -- 2.Foundation -- 3.Statistical Parsing -- 4.Machine Translation -- 5.Biological Sequence Analysis: Basics -- 6.Biological Sequence Analysis: Intersection -- 7.Conclusion -- References -- Index.
In: Springer eBooksSummary: Grammars are gaining importance in natural language processing and computational biology as a means of encoding theories and structuring algorithms. But one serious obstacle to applications of grammars is that formal language theory traditionally classifies grammars according to their weak generative capacity (what sets of strings they generate) and tends to ignore strong generative capacity (what sets of structural descriptions they generate) even though the latter is more relevant to applications. This book develops and demonstrates a framework for carrying out rigorous comparisons of grammar formalisms in terms of their usefulness for applications, focusing on three areas of application: statistical parsing, natural language translation, and biological sequence analysis. These results should pave the way for theoretical research to pursue results that are more directed towards applications, and for practical research to explore the use of advanced grammar formalisms more easily.
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1.Introduction -- 2.Foundation -- 3.Statistical Parsing -- 4.Machine Translation -- 5.Biological Sequence Analysis: Basics -- 6.Biological Sequence Analysis: Intersection -- 7.Conclusion -- References -- Index.

Grammars are gaining importance in natural language processing and computational biology as a means of encoding theories and structuring algorithms. But one serious obstacle to applications of grammars is that formal language theory traditionally classifies grammars according to their weak generative capacity (what sets of strings they generate) and tends to ignore strong generative capacity (what sets of structural descriptions they generate) even though the latter is more relevant to applications. This book develops and demonstrates a framework for carrying out rigorous comparisons of grammar formalisms in terms of their usefulness for applications, focusing on three areas of application: statistical parsing, natural language translation, and biological sequence analysis. These results should pave the way for theoretical research to pursue results that are more directed towards applications, and for practical research to explore the use of advanced grammar formalisms more easily.

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