in this paper, we describe the acquisition iuld (Irga-nization of knowledge sources fur machine translation (MT) systems. It has heen liointed out by many users that one of the most annoying things idmtlt MT sys-terns is tim repeated occurrence of identical errors in word sense and attachment dlsambiguation. We show the limitations of a conventional user-dictionary method and explain how our ap...

In this work, different prosodic knowledge sources are integrated into a state-of-the-art large vocabulary speech recognition system. Prosody manifests itself on different levels in the speech signal: within the words as a change in phone durations and pitch, inbetween the words as a variation in the pause length, and beyond the words, correlating with higher linguistic structures and nonlexica...

We predict discourse segment boundaries from linguistic features of utterances, using a corpus of spoken narratives as data. We present two methods for developing segmentation algorithms from training data: hand tuning and machine learning. When multiple types of features are used, results approach human performance on an independent test set (both methods), and using cross-validation (machine ...

Available domain ontologies are increasing over the time. However there is a huge amount of data stored and managed with RDBMS. We propose a method for learning association rules from both sources of knowledge in an integrated way. The extracted patterns can be used for performing: data analysis, knowledge completion, ontology refinement.

The objective of the Unisys Spoken Language Systems effort is to develop and demonstra te technology for the understanding of goal-directed spontaneous speech. The Unisys spoken language architecture couples speech recognition systems with the Unisys discourse understanding system, PUNDIT. PUNDIT is a broad-coverage language understanding system used in a variety of message understanding applic...

The need for information integration is paramount in many biological disciplines, because of the large heterogeneity in both the types of data involved and in the diversity of approaches (physiological, anatomical, biochemical, etc.) taken by biologists to study the same or correlated phenomena. However, the very heterogeneity makes the task of information integration very difficult since two a...

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There has been a tradition of combining different knowledge sources in Artificial Intelligence research. We apply this methodology to word sense disambiguation (WSD), a long-standing problem in Computational Linguistics. We report on an implemented sense tagger which uses a machine readable dictionary to provide both a set of senses and associated forms of information on which to base disambigu...

The developments in information technology during the last decade have been rapidly changing the possibilities for data and knowledge access. To respect this, several declarative knowledge representation formalisms have been extended with the capability to access data and knowledge sources that are external to a knowledge base. This article reviews some of these formalisms that are centered aro...

Whether called psychogeriatrics, old-age psychiatry, geriatric psychiatry, geriatric psychology, or mental health of the elderly, the clinical disciplines focusing on the mental health problems of older individuals are increasingly becoming recognized as subspecialties of their parent disciplines. Although the rate at which this is occurring is variable, interest is spreading worldwide and will...