In order to acquire a lexicon, young children must segment speech into words, even though
most words are unfamiliar to them. This is a non-trivial task because speech lacks any …

We address the problem of automatically acquiring case-frame patterns from large corpus
data. In particular, we view this problem as the problem of estimating a (conditional) …

Imagine a language that is completely unfamiliar; the only means of studying it are an
ordinary grammar book and a very large corpus of text. No dictionary is available. How can …

Imagine that you are an archeologist working in the central plains of Asia. One day, while
rooting around for replaces and int shards in a cave, you happen across an ornately carved …

This paper reports experiments in the automatic discovery of linguistically significant
regularities in text. The minimum description length principle is exploited to evaluate …

This paper describes a class of procedures for discovering linguistic structure, along with
some specific procedures and measures of their effectiveness. This approach is well-suited …

Quelle est la quantité d'information nécessaire a priori pour découvrir la structure d'une
langue? Le paradigme de l'apprentissage automatique porte sur la question un éclairage …

In this thesis, I address the problem of automatically acquiring lexical semantic knowledge,
especially that of case frame patterns, from large corpus data and using the acquired …

This dissertation explores to what extent phonological structure can be inferred from the
distribution of sounds within words. For this purpose, a typologically oriented computational …

Structural disambiguation in sentence analysis is still a central problem in natural language
processing. Past researches have verified that using lexical semantic knowledge can, to a …