Publication - Αλγόριθμοι εφαρμογής των N-grams στην αναγνώριση συναισθηματικού λόγου και στην διόρθωση κειμένων

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Αλγόριθμοι εφαρμογής των N-grams στην αναγνώριση συναισθηματικού λόγου και στην διόρθωση κειμένων

Research Area:  
    
Type:  
Phd Thesis

 

Year: 2007
Authors: Theologos Athanaselis
University: Εθνικό Μετσόβιο Πολυτεχνείο (Ε.Μ.Π)
Abstract:
Statistical language model aims to estimate the probability distribution of various linguistic units such as words and sentences. Language models employ statistical estimation techniques using text. The most popular language models are N-grams models. These models are fundamental to a variety of language technologies, such as speech and optical recognition, statistical machine translation, and spelling correction. In the framework of this work, two new algorithms are introduced, for applying N-grams models in emotional speech recognition and sentence correction.
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