Procedures as a Representation for Data in a Computer Program for Understanding Natural Language

This paper describes a system for the computer understanding of English. The system answers questions, executes commands, and accepts information in normal English dialog. It uses semantic information and context to understand discourse and to disambiguate sentences. It combines a complete syntactic analysis of each sentence with a "heuristic understander" which uses different kinds of information about a sentence, other parts of the discourse, and general information about the world in deciding what the sentence means. It is based on the belief that a computer cannot deal reasonably with language unless it can "understand" the subject it is discussing. The program is given a detailed model of the knowledge needed by a simple robot having only a hand and an eye. We can give it instructions to manipulate toy objects, interrogate it about the scene, and give it information it will use in deduction. In addition to knowing the properties of toy objects, the program has a simple model of its own mentality. It can remember and discuss its plans and actions as well as carry them out. It enters into a dialog with a person, responding to English sentences with actions and English replies, and asking for clarification when its heuristic programs cannot understand a sentence through use of context and physical knowledge.

Computer-Assisted Language Learning (CALL) and trilingualism in the Basque Country. 'Aprendizaje de lenguas asistido por ordenador (CALL) y triling????smo en el Pa??s Vasco'

Resumen basado en el de la publicaci??n

Evaluation of the Computer-based Battery for Oral Language (BILOv3) through the Rasch model for a Brazilian Sample

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Run time support for the TUTOR language on a small computer system /

"UILU-ENG 77 1719."

TRANQUIL : a language for an array processing computer /

"April 1, 1969."

Report on Workshop on High Performance Computing and Communications for Grand Challenge Applications : computer vision, speech and natural language processing, and artificial intelligence /

Cover title.

Niederdeutsch im Internet. Möglichkeiten und Grenzen computervermittelter Kommunikation für den Spracherhalt:possibilities and limitations of computer-mediated communication for language preservation

Der vorliegende Beitrag untersucht die Frage, in welchem Maße sich Institutionen, die niederdeutsche Kulturszene und individuelle Sprecher des Niederdeutschen moderne Kommunikationstechnologien wie das Internet zunutze machen und ob computervermittelte Kommunikation helfen kann, dem Rückgang des Niederdeutschen Einhalt zu gebieten. Die grundsätzliche Herangehensweise ist eine soziolinguistische, die das Internet als sozialen Handlungsraum versteht, in dem Individuen und Institutionen kommunizieren. Für eine derartige Perspektive stehen weniger das Medium oder das Genre im Mittelpunkt des Interesses als vielmehr das kommunizierende Individuum und die Sprachgemeinschaft, in diesem Fall die virtuelle Sprachgemeinschaft. Based on studies that analyse the potential of computer-mediated communication (cmc) to help fight language shift in lesser-used languages, this paper discusses the situation of Low German in Northern Germany. Over the last three decades, Low German has lost more than half of its active speakers. The article raises the question of whether and, if so, how Low German speakers make use of cmc to stem this tide. Following a sociolinguistic approach focussed on the individual speakers who use the Internet as a space for social interaction, it gives an overview of the discursive field of Low German on the internet and analyses in detail the most popular Low German discussion board. It shows that one of the main obstacles to a more successful use of cmc can be found in speakers' complex attitude toward written Low German. © Franz Steiner Verlag Stuttgart.

Using computer concordancing for the learning of French as a second language

DUE TO COPYRIGHT RESTRICTIONS ONLY AVAILABLE FOR CONSULTATION AT ASTON UNIVERSITY LIBRARY AND INFORMATION SERVICES WITH PRIOR ARRANGEMENT

Bridging the Gap Between Human Language and Computer-Oriented Representations

Information can be expressed in many ways according to the different capacities of humans to perceive it. Current systems deals with multimedia, multiformat and multiplatform systems but another « multi » is still pending to guarantee global access to information, that is, multilinguality. Different languages imply different replications of the systems according to the language in question. No solutions appear to represent the bridge between the human representation (natural language) and a system-oriented representation. The United Nations University defined in 1997 a language to be the support of effective multilinguism in Internet. In this paper, we describe this language and its possible applications beyond multilingual services as the possible future standard for different language independent applications.

An ESL/EFL Computer Assisted Language Instruction (CALIS) Micro-Teaching Lesson on Coherence Through Sentences When Writing Compositions in the Foreign Language Classroom

[Sin resumen]

Biologically Plausible Connectionist Prediction of Natural Language Thematic Relations

In Natural Language Processing (NLP) symbolic systems, several linguistic phenomena, for instance, the thematic role relationships between sentence constituents, such as AGENT, PATIENT, and LOCATION, can be accounted for by the employment of a rule-based grammar. Another approach to NLP concerns the use of the connectionist model, which has the benefits of learning, generalization and fault tolerance, among others. A third option merges the two previous approaches into a hybrid one: a symbolic thematic theory is used to supply the connectionist network with initial knowledge. Inspired on neuroscience, it is proposed a symbolic-connectionist hybrid system called BIO theta PRED (BIOlogically plausible thematic (theta) symbolic-connectionist PREDictor), designed to reveal the thematic grid assigned to a sentence. Its connectionist architecture comprises, as input, a featural representation of the words (based on the verb/noun WordNet classification and on the classical semantic microfeature representation), and, as output, the thematic grid assigned to the sentence. BIO theta PRED is designed to ""predict"" thematic (semantic) roles assigned to words in a sentence context, employing biologically inspired training algorithm and architecture, and adopting a psycholinguistic view of thematic theory.

Proposal of a High-Level Language for Writing Self Modifying Programs

This paper proposes a simple high-level programming language, endowed with resources that help encoding self-modifying programs. With this purpose, a conventional imperative language syntax (not explicitly stated in this paper) is incremented with special commands and statements forming an adaptive layer specially designed with focus on the dynamical changes to be applied to the code at run-time. The resulting language allows programmers to easily specify dynamic changes to their own program`s code. Such a language succeeds to allow programmers to effortless describe the dynamic logic of their adaptive applications. In this paper, we describe the most important aspects of the design and implementation of such a language. A small example is finally presented for illustration purposes.