Search results for "Language Processing"
showing 10 items of 421 documents
Adaptation of a German Multidimensional Networking Scale into English
2011
Networking refers to building and maintaining personal contacts in order to obtain resources that, in turn, enhance one’s career success and work performance. This study reports the translation and adaptation of a multifaceted German networking scale ( Wolff & Moser, 2006 ) into English and focuses on the equivalence of the two language versions. Going beyond the often used translation-backtranslation method, we used a parallel translation-backtranslation method in combination with two expert committees to arrive at the English scale version, aiming to obtain at least structural equivalence. We utilize a bilingual sample (N = 76) as well as monolingual samples from the US (N = 174) and…
Categorization in Discourse and Grammar
2016
This collection of papers addresses new trends in Cognitive Linguistics. Three parts of the book focus on Conceptual Metaphor Theory and Integration Network Analysis. Both the theoretical contributions and the empirical case studies stress the importance of contextual factors in the meaning making processes. They employ qualitative methods to analyze the use of metaphor in political discourse and in the conceptualization of emotions. The data sets include multimodal data, sign languages and co-speech gestures. The fourth part of the book contains two corpus-based studies. The fifth part concentrates on the grammatical categories of passive voice and aspect. One contribution discusses the pr…
A Conceptual Probabilistic Model for the Induction of Image Semantics
2010
In this paper we propose a model based on a conceptual space automatically induced from data. The model is inspired to a well-founded robotics cognitive architecture which is organized in three computational areas: sub-conceptual, linguistic and conceptual. Images are objects in the sub-conceptual area, that become "knoxels" into the conceptual area. The application of the framework grants the automatic emerging of image semantics into the linguistic area. The core of the model is a conceptual space induced automatically from a set of annotated images that exploits and mixes different information concerning the set of images. Multiple low level features are extracted to represent images and…
Implicit learning
2008
International audience; All of us have learned much about language, music, physical or social environment, and other complex domains, out of any intentional attempts to acquire information. This chapter describes first how studies investigating this form of learning in laboratory situations have shifted from a rule-based interpretation to interpretations assuming a progressive tuning to the statistical regularities of the environment. The next section examines the potential of statistical learning, and whether statistical learning stems from statistical computations or chunk formation. Then the acceptations in which this form of learning may be qualified as implicit are analysed. Finally, i…
Convergence of Web 2.0 and Semantic Web: A Semantic Tagging and Searching System for Creating and Searching Blogs
2007
The work presented in this paper aims to combine Latent Semantic Analysis methodology, common sense and traditional knowledge representation in order to improve the dialogue capabilities of a conversational agent. In our approach the agent brain is characterized by two areas: a "rational area", composed by a structured, rule-based knowledge base, and an "associative area", obtained through a data- driven semantic space. Concepts are mapped in this space and their mutual geometric distance is related to their conceptual similarity. The geometric distance between concepts implicitly defines a sub-symbolic relationship net, which can be seen as a new "sub- symbolic semantic layer" automaticall…
Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis
2020
With the growth of online social network platforms and applications, large amounts of textual user-generated content are created daily in the form of comments, reviews, and short-text messages. As a result, users often find it challenging to discover useful information or more on the topic being discussed from such content. Machine learning and natural language processing algorithms are used to analyze the massive amount of textual social media data available online, including topic modeling techniques that have gained popularity in recent years. This paper investigates the topic modeling subject and its common application areas, methods, and tools. Also, we examine and compare five frequen…
The Contribution of Event-Related Potentials to the Understanding of Sign Language Processing and Production in the Brain : Experimental Evidence and…
2022
Functional neuroimaging allows investigation of the timing properties of the brain mechanisms underlying covert language processing. This paper presents a review of the use of the neuroimaging technique called Event-Related Potentials (ERPs) in sign language (SL) research. In the field of neurolinguistics, ERPs have been widely used in the study of spoken language, but their use in SL is still rare. Studying the neurocognitive aspects of SL could lead to a better understanding of the specific processing of SL in the brain. This review outlines the basic theoretical and methodological principles of ERPs. We focus on three groups of ERPs that are particularly relevant to SL processing and pro…
Timbral Qualities of Semantic Structures of Music.
2010
The rapid expansion of social media in music has provided the field with impressive datasets that offer insights into the semantic structures underlying everyday uses and classification of music. We hypothesize that the organization of these structures are rather directly linked with the ”qualia” of the music as sound. To explore the ways in which these structures are connected with the qualities of sounds, a semantic space was extracted from a large collection of musical tags with latent semantic and cluster analysis. The perceptual and musical properties of 19 clusters were investigated by a similarity rating task that used spliced musical excerpts representing each cluster. The resulting…
Integration, Bewertung und Nutzung heterogener Datenquellen mittels semantischer Werkzeuge
2017
In diesem Artikel stellen wir unsere Forschung in der Integration von Geodaten in einen Semantic Web Kontext in unserem Projekt Semantic GIS vor. Zunächst möchten wir den Zweck und die Vorteile einer Integration und Interpretation von Daten in das Semantic Web beleuchten und anschließend unseren Integrationprozess bestehend aus Datengewin-nung, automatischer Interpretation, Qualitätssicherung und Provenance sowie den Datenzugriff erklären. Um die Anwendung unserer Forschung zu demonstrieren gehen wir auf zwei Anwendungsfälle in unserem Projekt ein: Die Bewertung von OpenStreetMap Daten und die Verbesserung des Katastrophenschutzes mittels semantischem Reasoning. Wir schließen den Artikel mi…
Introduction to Gestural Similarity in Music. An Application of Category Theory to the Orchestra
2019
Mathematics, and more generally computational sciences, intervene in several aspects of music. Mathematics describes the acoustics of the sounds giving formal tools to physics, and the matter of music itself in terms of compositional structures and strategies. Mathematics can also be applied to the entire making of music, from the score to the performance, connecting compositional structures to acoustical reality of sounds. Moreover, the precise concept of gesture has a decisive role in understanding musical performance. In this paper, we apply some concepts of category theory to compare gestures of orchestral musicians, and to investigate the relationship between orchestra and conductor, a…