A Semi-Automatic System for the Syllabification and Stress Assignment of Large Lexicons

This Master's Thesis concerns research in the automatic analysis of the sub-lexical structure of English words. Sub-lexical structure includes linguistic categories such as syllabification, stress, phonemic representation, phonetics, and spelling. This information could be very useful in all sorts of speech applications, including duration modeling and speech recognition. Angie is a system that can parse words, given either their phonetic or orthographic representation, into a common hierarchical framework with the categories mentioned above. A new feature enforcing morphological constraints has recently been added to this paradigm. We define "morphs" to be somewhat like syllable units of a word, but each of them are tagged morphologically, and associated with both an orthographic sequence and a phonemic representation. Each word is represented as concatenations of these morphs, which then encode both the orthography and the phonemics of the word. This thesis defines a procedure to se..