In this paper, we present a generic anaphora engine for Indian languages, which are mostly resource poor languages. We have analysed the similarit ies and variations between pronouns and their agreement with antecedents in Indian languages. The generic algorithm developed uses the morphological richness of Indian languages. The machine learn ing approach uses the features which can handle major...

We integrate a supervised machine learning mechanism for detecting erroneous words in the output of a speech recognizer with a two-tier error-correction approach that features (1) a noisy-channel model that replaces erroneous words with generic words, and (2) a phonetic-similarity mechanism that refines the generic words based on a short list of candidate interpretations. Our results, obtained ...

3 A framework for defining a schema matching problem 6 3.1 Modeling XML schemas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3.1.1 Features of the XML schema language . . . . . . . . . . . . . . . . . . . . . 7 3.1.2 Graph theory basics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3.1.3 XML schema graph . . . . . . . . . . . . . . . . . . . . . . . . . ...

This study presents a new approach to feature extraction for real-time classification of physiological signals. By using multiple resolutions for the analysis of the signal, the stability of large analysis windows is combined with the capability of small windows to reflect quick changes. A large number of generic features is extracted from each signal for each resolution. These are calculated r...

We describe design decisions adopted in our software implementation of decoder for a class of algebraic geometry codes. The decisions develop methodology of generic programming and show some metaprogramming techniques which are valuable when solving similar problems from the field of error-correcting codes or more generally computational algebraic geometry. We also emphasize features of C++11 w...

This paper presents a standards-based architecture for a complex and generic distributed multimedia scenario, which combines content search and retrieval, DRM, and context-based content adaptation together. It is an innovative and totally generic approach trying to narrow the semantic-gap by integrating a flexible language for multimedia search based on MPEG Query Format (MPQF) standard with th...

A computer assisted modelling methodology for the generation of linear models with LFTs based parametric uncertainty descriptions is proposed. The starting point for the LFT modelling is a class of generic nonlinear aircraft models used for simulation purposes. The proposed methodology integrates many specialized software tools for object-oriented modeling, for simulation and numerical computat...

This paper presents a standards-based architecture for a complex and generic distributed multimedia scenario, which combines content search and retrieval, DRM, and context-based content adaptation together. It is an innovative and totally generic approach trying to narrow the semantic-gap by integrating a fl exible language for multimedia search based on MPEG Query Format (MPQF) standard with t...

A computer assisted modelling methodology is developed for the generation of linearized models with parametric uncertainties described by Linear Fractional Transformations (LFTs). The starting point of the uncertainty modelling is a class of generic nonlinear aircraft models with explicit parametric dependence used for simulation purposes. The proposed methodology integrates specialized softwar...