Higher order grammar (HOG) is a linguistic formalism that aims to combine the advantages of existing constraint-based formalisms (such as HPSG) and proof-theoretic ones (such as categorial grammar) by using higher-order logic (HOL) as the description language; the underlying intuitionistic type system plays a role analogous to that of a categorial type logic, while the classical higher-order te...

In this paper a Sequential Selection Process in Group Decision Making under linguistic assessments is presented, where a set of linguistic preference relations represents individuals preferences. A collective linguistic preference is obtained by means of a deened linguistic ordered weighted averaging operator whose weights are chosen according to the concept of fuzzy majority, speciied by a fuz...

This study proposes an acoustic model adaptation scheme to improve speech recognition in severely adverse environments utilizing untranscribed data. In the proposed method, a clean GMM is estimated from clean training data, and a noisecorrupted GMM is obtained by MAP adaptation over the adaptation data. The Gaussian component of the adapted HMMs is obtained using the transform of the most simil...

This paper presents our recent work on language identi-cation research using conversational speech (the LDC Conversational Telephone Speech Database). The base-line system used in this study was developed recently ((4, 5]). It is based on language-dependent phone recognition and phonotactic constraints. The system was trained using monologue data and obtained an error rate of around 9% on a com...

Linguistic rules in natural language are useful and consistent with human way of thinking. They are very important in multi-criteria decision making due to their interpretability. In this paper, our discussions concentrate on extracting linguistic rules from data sets. In the end, we firstly analyze how to extract complex linguistic data summaries based on fuzzy logic. Then, we formalize lingui...

In recent years, state-of-the-art cross-linguistic systems have been based on parallel corpora. Nevertheless, it is difficult at times to find translations of a certain technical term or named entity even with a very large parallel corpora. In this paper, we present a new method for learning to find translations on the Web for a given term. In our approach, we use a small set of terms and trans...

SpatialML is an annotation scheme for marking up references to places in natural language. It covers both named and nominal references to places, grounding them where possible with geo-coordinates, including both relative and absolute locations, and characterizes relationships among places in terms of a region calculus. A freely available annotation editor has been developed for SpatialML, alon...

SpatialML is an annotation scheme for marking up references to places in natural language. It covers both named and nominal references to places, grounding them where possible with geocoordinates, and characterizes relationships among places in terms of a region calculus. A freely available annotation editor has been developed for SpatialML, along with several annotated corpora. Inter-annotator...

This paper presents the framework for the implementation of a non-heuristic technique for thresholding of change images derived from multi-temporal analysis of remotely sensed data using pre-classification techniques. The approach is based on fuzzy sets and fuzzy logic, and it assumes that accurate separation of change/no-change areas can be achieved if the membership function of the fuzzy mode...