Download An Introduction to Language Processing with Perl and Prolog: by Pierre M. Nugues PDF

By Pierre M. Nugues

This ebook teaches the foundations of common language processing and covers linguistics concerns. It additionally info the language-processing capabilities concerned, together with part-of-speech tagging utilizing principles and stochastic recommendations. A key characteristic of the booklet is the author's hands-on strategy all through, with large workouts, pattern code in Prolog and Perl, and a close advent to Prolog. The e-book is appropriate for researchers and scholars of average language processing and computational linguistics.

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Additional info for An Introduction to Language Processing with Perl and Prolog: An Outline of Theories, Implementation, and Application with Special Consideration of English, French, and German (Cognitive Technologies)

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After Ball et al. (1997). 2 The Persona’s Modules Persona’s first component is the Whisper speech recognition module (Huang et al. 1995). Whisper uses signal processing techniques to compare phoneme models to the acoustic waves, and it assembles the recognized phonemes into words. It also uses a grammar to constrain the recognition possibilities. Whisper transcribes continuous speech into a stream of words in real time. It is a speaker-independent system. This means that it operates with any speaker without training.

The basic data of a dictionary is a word list. Such lists can be drawn manually or automatically from corpora. Then, lexicographers write the word definitions and choose citations illustrating the words. 1 Corpora 25 obvious to the reader, meticulous lexicographers tended to collect examples – citations – reflecting a rare usage. Computerized corpora can help lexicographers avoid this pitfall by extracting all the citations that exemplify a word. An experienced lexicographer will then select the most representative examples that reflect the language with more relevance.

We may want to search a word or its plural form, uppercase or lowercase letters, expressions containing numbers, etc. This is made possible using finite-state automata (FSA) that we introduce now. FSA are flexible tools to process texts and one of the most adequate to search strings. FSA theory was designed in the beginning of computer science as a model of abstract computing machines. It forms a well-defined formalism that has been tested and used by generations of programmers. FSA stem from a simple idea.

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