TAILIEUCHUNG - Báo cáo khoa học: "Predicting Relative Prominence in Noun-Noun Compounds"

There are several theories regarding what influences prominence assignment in English noun-noun compounds. We have developed corpus-driven models for automatically predicting prominence assignment in noun-noun compounds using feature sets based on two such theories: the informativeness theory and the semantic composition theory. The evaluation of the prediction models indicate that though both of these theories are relevant, they account for different types of variability in prominence assignment. . | Predicting Relative Prominence in Noun-Noun Compounds Taniya Mishra AT T Labs-Research 180 Park Ave Florham Park NJ 07932 taniya@ Abstract There are several theories regarding what influences prominence assignment in English noun-noun compounds. We have developed corpus-driven models for automatically predicting prominence assignment in noun-noun compounds using feature sets based on two such theories the informativeness theory and the semantic composition theory. The evaluation of the prediction models indicate that though both of these theories are relevant they account for different types of variability in prominence assignment. 1 Introduction Text-to-speech synthesis TTS systems stand to gain in improved intelligibility and naturalness if we have good control of the prosody. Typically prosodic labels are predicted through text analysis and are used to control the acoustic parameters for a TTS system. An important aspect of prosody prediction is predicting which words should be prosod-ically prominent . produced with greater energy higher pitch and or longer duration than the neighboring words in order to indicate the former s greater communicative salience. Appropriate prominence assignment is crucial for listeners understanding of the intended message. However the immense prosodic variability found in spoken language makes prominence prediction a challenging problem. A particular sub-problem of prominence prediction that still defies a complete solution is prediction of relative prominence in noun-noun compounds. Noun-noun compounds such as White House cherry pie parking lot Madison Avenue Wall Street nail polish french fries computer programmer dog catcher silk tie and self reliance occur quite frequently in the English language. In a discourse neutral context such constructions usually have leftmost prominence . speakers produce the left-hand noun with greater prominence than the 609 Srinivas Bangalore AT T Labs-Research 180 Park Ave .

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