We describe a framework for inducing probabilistic grammars from corpora of positive samples. First, samples are incorporated by adding ad-hoc rules to a working grammar; subseque...
Abstract. We propose to use semi-supervised learning methods to classify evaluative expressions, that is, tuples of subjects, their attributes, and evaluative words, that indicate ...
An approach for a program is presented that automatically detects the position of pitch accents and intonation phrase (IP) boundaries from waveforms. The technique maps acoustic c...
We have developed a method to resolve ambiguities in prepositional phrase (PP) attachment in German. We measure on the one hand the cooccurrence strength between nouns (N) and pre...
This paper presents a machine learning approach to the study of translationese. The goal is to train a computer system to distinguish between translated and non-translated text, in...