ing and then consider part-of-speech tagging, which was the first syntactic problem to successfully be attacked by statistical techniques and also serves as a good warm-up for the main topic—statistical parsing. Here, I consider both the simplified case in which the input string is viewed as a string of parts of speech and the more interesting case in which the parser is guided by statistical i...

Music psychology as a discipline has its origins at the end of the 19th century and ever since then, empirical methods have been a core part in this field of research. While its experimental and analytical methods have mainly been related to methodology employed in general psychology, several statistical techniques have emerged over the course of the past century being specific for empirical re...

Exploiting unannotated natural language data is hard largely because unsupervised parameter estimation is hard. We describe deterministic annealing (Rose et al., 1990) as an appealing alternative to the ExpectationMaximization algorithm (Dempster et al., 1977). Seeking to avoid search error, DA begins by globally maximizing an easy concave function and maintains a local maximum as it gradually ...

Suggested running title|Statistical Analysis of TLS-Based Prony. Subtitle|We present an analysis of the statistics for the TLS-Prony method by deriving the covariance matrix of the estimated parameters. We verify the theoretical results using Monte-Carlo simulations and compare them to their Cram er-Rao bounds. Abstact We present an analysis of parameter variance statistics for the TLS-Prony me...