View Seminar Video Abstract Many frameworks for statistical pattern recognition are based on computing Mahalanobis distances, which appear as positive semidefinite quadratic forms. I will describe how to learn the parameters of these quadratic forms[…]
Abstract A majority of deaf high school graduates in the United States have an English reading level comparable to that of a 10-year-old hearing student, and so machine translation MT software that translates English text[…]
View Seminar Video Abstract Sengwato, a dialect of Setswana spoken in Botswana, ought to be impossible. In this talk, we’ll examine two aspects of the sound structure of Sengwato that ought to be impossible: doubly-articulated[…]
View Seminar Video Abstract Much recent work in the Theoretical Computer Science, Linear Algebra, and Machine Learning has considered matrix decompositions of the following form: given an m-by-n matrix A, decompose it as a product[…]
Abstract Theories of sentence comprehension have traditionally been based on evidence from reading studies, and have emphasized cognitive limitations and invariant parsing strategies. There is increasing evidence, however, that human language comprehension is highly adapted[…]
Abstract A surge of recent research in machine learning and statistics has developed new techniques for finding patterns of words in document collections using hierarchical probabilistic models. These models are called “topic models” because the[…]
Abstract A dependency representation of a sentence identifies, for each word, all its modifying arguments. The ability to parse dependencies is an important problem due to the fact that they have been of use in[…]
