In this paper, we want to describe the architecture and some of the implementation issues of a large scale category guesser for Dutch medical vocabulary. We Mso provide numerical data on the precision and coverage of this category guesser, which has to cover for the moment only the vocabulary of the cardiology domain. The category guesser uses non-morphologic information (endstring matching) as...

The method of constructing of Grothendieck’s topology basing on a neighbourhood grammar, defined on the category of syntax diagrams is described in the article. Syntax diagrams of a formal language are the multigraphs with nodes, signed by symbols of the language’s alphabet. The neighbourhood grammar allows to select correct syntax diagrams from the set of all syntax diagrams on the given alpha...

Language learning requires that listeners discover acoustically variable functional units like phonetic categories and words from an unfamiliar, continuous acoustic stream. Although many category learning studies have examined how listeners learn to generalize across the acoustic variability inherent in the signals that convey the functional units of language, these studies have tended to focus...

A new technique for modelling word occurrence correlations within a word-category based language model is presented. Empirical observations indicate that the conditional probability of a word given its category, rather than maintaining the constant value normally assumed, exhibits an exponential decay towards a constant as a function of an appropriately defined measure of separation between the...

A language model based on word-category n-grams and ambiguous category membership with n increased selectively to trade compactness for performance is presented. The use of categories leads intrinsically to a compact model with the ability to generalise to unseen word sequences, and diminishes the spareseness of the training data, thereby making larger n feasible. The language model implicitly ...

Previous studies have demonstrated that native listeners modify their interpretation of a speech sound when a talker produces an ambiguous sound in order to quickly tune into a speaker, but there is hardly any evidence that non-native listeners employ a similar mechanism when encountering ambiguous pronunciations. So far, one study demonstrated this lexically-guided perceptual learning effect f...

This study explores the efficacy of an approach to native language identification that utilizes grammatical, rhetorical, semantic, syntactic, and cohesive function categories comprised of key n-grams. The study found that a model based on these categories of key n-grams was able to successfully predict the L1 of essays written in English by L2 learners from 11 different L1 backgrounds with an a...

Silbert & de Jong (2007) investigated correlations between response bias and segment frequency in a number of previously published segment identification data sets. In general, bias tends to be positively correlated with frequency. When applied to second language (L2) learning, this pattern predicts biases toward identifying novel L2 categories as L1 categories, since the number of instances of...

We take a novel approach to rapid, low-cost development of morpho-syntactically annotated resources without using parallel corpora or bilingual lexicons. The overall research question is how to exploit language resources and properties to facilitate and automate the creation of morphologically annotated corpora for new languages. This portability issue is especially relevant to minority languag...

In the first part of this Thesis we develop the theory of locally boolean domains and bistable maps (as introduced in [Lai05b]) and show that the category of locally boolean domains and bistable maps is equivalent to the category of Curien-Lamarche games and observably sequential functions (cf. [CCF94]). Further we show that the category of locally boolean domains has inverse limits of ω-chains...