Verb processing in spoken commands for household security and appliances

The present paper concerns the handling of verbs in the Speech Recognition Module of an HCI system for the remote control of household security and the operation of household appliances. The basic language used is Modern Greek, but the system's design includes the basis of a multilingual extension for the use of the system by native-speakers of other languages.The human- computer communication must preferable to be accomplished in natural language. Some methods of Artificial Intelligence can contribute to the solving of the natural language processing problems. The target for a multilingual extension of the system has imposed the restrictions that commands are kept simple and referring expressions such as deictic noun phrases and pronouns as well as anaphoric expressions are avoided. The interaction with the system is strictly based on dialogs with restricted options in order to increase the feasibility of the speech interface. © 2009 Springer Berlin Heidelberg

Pragmática en el aula y recursos comunicativos

Resumen basado en el de la publicaciónSe reflexiona sobre como crear las condiciones que favorezcan la interacción oral con la ayuda de actividades adecuadas y contextos de expresión oral en la clases de ELE para fomentar la independencia comunicativa de los alumnos. Se trata de estimularlos a que usen la lengua de manera que les resulte más atractiva y útil, en un esfuerzo común por conocer, aplicar lo aprendido, y adquirir cada vez más autonomía para utilizar eficazmente la lengua meta.MadridES

Greek verbs and user friendliness in the speech recognition and the speech production module of dialog systems for the broad public

It has been observed that for the Greek language, in Service- Oriented Dialog Systems targeted towards the broad public, verbs display particular features to be considered both in the System's Speech Recognition (ASR) and Speech Synthesis (or Speech Production) Module. Additionally, the function of verbs, both in respect to their role in the semantic content of the spoken utterance and in respect to their prosodic features in the spoken utterance, is observed to be directly linked to the step and the related Speech Act in the dialog structure. From a prosodic aspect, it is observed that, in spoken input, "Multitasking" verbs do not receive prosodic emphasis, whereas in spoken output, prosodic emphasis is given on words signalizing the User-System Relationship. © 2011 Springer-Verlag

Linguistic processing of implied information and connotative features in multilingual HCI applications

Implied information and connotative features may not always be easily detected or processed in multilingual Human-Computer Interaction Systems for the International Public, especially in applications related to the Service Sector. The proposed filter concerns the detection of implied information and connotative features in HCI applications processing online texts and may be compatible with Interlinguas including the signalization of connotative features, if necessary. The proposed approach combines features detected in the lexical and morpho-syntactic level, and in the prosodic and paralinguistic levels. © 2013 Springer-Verlag

ARISTA causal knowledge discovery from texts

A method is proposed in the present paper for supporting the discovery of causal knowledge by finding causal sentences from a text and chaining them by the operation of our system. The operation of our system called ACkdT relies on the search for sentences containing appropriate natural language phrases. The system consists of two main subsystems. The first subsystem achieves the extraction of knowledge from individual sentences that is similar to traditional information extraction from texts while the second subsystem is based on a causal reasoning process that generates new knowledge by combining knowledge extracted by the first subsystem. In order to speed up the whole knowledge acquisition process a search algorithm is applied on a table of combinations of keywords characterizing the sentences of the text. Our knowledge discovery method is based on the use of our knowledge representation independent method ARISTA that accomplishes causal reasoning “on the fly” directly from text. The application of the method is demonstrated by the use of two examples. The first example concerns pneumonology and is found in a textbook and the second concerns cell apoptosis and is compiled from a collection of MEDLINE paper abstracts related to the recent proposal of a mathematical model of apoptosis. © Springer-Verlag Berlin Heidelberg 2002

Computational Discovery of Ontology and Axioms for Geometry

Abstract-- Some preliminary research is presented in the present paper that aims toward the implementation of autonomous "geometrizing " creative agents. These agents will be able to discover the ontology and axioms of a discrete space that they live and move in exploring its geometric and causal structure with the purpose of facilitating their motion in it. Faculties such as meta-cognition and answering questions about the knowledge they acquire during their explorations are envisaged and proposed as useful tools for facilitating the development of such agents. The automatic analysis of texts of geometric proofs is also presented as a tool to support knowledge acquisition by these agents. In the present paper we will focus on the computational discovery a particular class of system models consisting of axioms that describe relations between geometrical entities. This knowledge is expressed either in terms of logical equations or in the form of natural language statements. The knowledge generated by such systems is then compared with the one that results from scientific induction tasks performed by geometers

Metagnostic deductive question answering with explanation from texts

The present paper presents a system called AMYNTAS for " metagnostic" deductive question answering from texts. This system can logically combine information from texts and answer questions generating explanations for its operation exhibiting "self-awareness". The deductions are performed directly with the natural language text without previous translation into a formal representation. The "metagnostic" effect is accomplished by representing and processing the state of linguistic processing and reasoning of the system. The system is implemented in Prolog and uses a text grammar to parse sentences that contain the information being sought. The system uses reasoning rules, lexicon, ontology, prerequisite knowledge and the history of its state. The system may easily be adapted to completely different domains such as biomedical texts and texts of the proofs of theorems of Euclidean geometry. An evaluation performed with real sentences from these two completely different domains gave satisfactory results of accuracy and facility of domain adaptation. © 2011 Springer-Verlag