In this contribution we report on our ongoing work in lexical decomposition for automatic speech recognition (ASR). Lexical decomposition is investigated with a twofold goal: lexical coverage optimization and improved automatic letter-tosound conversion. Whereas morphological decomposition is a widely-studied domain in linguistics, our interest is limited here to identifying and processing the ...

An algorithm for the morphological decomposition of words into morphemes is presented. The application area is information retrieval, and the purpose is to find morphologically related terms to a given search term. First, the parsing framework is presented, then several linguistic decisions are discussed: morpheme selection and segmentation, morpheme classes, morpheme grammar, allomorph handlin...

The decomposition of a binary morphological structuring element is a well-known problem in pattern recognition that has often been addressed in the literature. Generally, only deterministic solutions have been considered, each relying on different assumptions. A different solution, with no such constraints, has been proposed by Anelli, Broggi and Destri: it is based on a stochastic evolutionary...

This paper describes a method of analysing words through morphological decomposition when the lexicon is incomplete. The method is used within a text-to-speech system to help generate pronunciations of unknown words. The method is achieved within a general morphological analyser system using Koskenniemi twolevel rules.

For image processing systems that have a limited size of region of support, say 3 x 3, direct implementation of morphological operations by a structuring element larger than the prefixed size is impossible. The decomposition of morphological operations by a large structuring element into a sequence of recursive operations, each using a smaller structuring element, enables the implementation of ...

Interest in multiresolution techniques for signal processing and analysis is increasing steadily. An important instance of such a technique is the so-called pyramid decomposition scheme. This report proposes a general axiomatic pyramid decomposition scheme for signal analysis and synthesis. This scheme comprises the following ingredients: (i) the pyramid consists of a ((nite or innnite) number ...

Interest in multiresolution techniques for signal processing and analysis is increasing steadily. An important instance of such a technique is the so-called pyramid decomposition scheme. This report proposes a general axiomatic pyramid decomposition scheme for signal analysis and synthesis. This scheme comprises the following ingredients: (i) the pyramid consists of a (finite or infinite) numbe...

It is well known that good language models improve performance of speech recognition. One requirement for the estimation of language models is a sufficient amount of texts of the application domain. If not all words of the domain occur in the training texts for language models, a way must be found to model these words adequately. In this paper we report on a new approach of building word classe...

When does morphological decomposition occur in visual word recognition? An increasing body of evidence suggests the presence of early morphological processing. The present work investigates this issue via an orthographic similarity manipulation. Three masked priming lexical decision experiments were conducted to examine the transposed-letter similarity effect (e.g., jugde facilitates JUDGE more...

Previous research has yielded conflicting results regarding the onset of semantic processing during morphological priming. The present study was designed to further explore the time-course of morphological processing using event-related potentials (ERPs). We conducted a primed lexical decision study comparing a morphological (LAVAGE - laver [washing - wash]), a semantic (LINGE - laver [laundry ...