Datalingvistik

Im Jahr 2014 feierte das Institut fur Deutsche Sprache (IDS) sein 50-jahriges Bestehen. Dieses Jubilaum nahm das IDS zum Anlass, seine Jahrestagung thematisch etwas breiter anzulegen und diejenigen Themenfelder, die in der sprachwissenschaftlichen Diskussion der letzten funf Jahrzehnte eine besondere Rolle gespielt haben und zu denen das IDS in besonderer Weise hat beitragen konnen, einer Revision zu unterziehen. Die Beitrage dieses Bandes bieten daher einerseits eine Zusammenschau der aktuellen Fragen der Grammatikforschung und Grammatikografie, der Lexikologie und Lexikografie, des gesprochenen Sprachgebrauchs sowie der Korpustechnologie und der Computerlinguistik. Andererseits geben sie auch Auskunft daruber, wo die Sprachwissenschaft im Moment steht und wo sich zukunftig vielleicht neue Forschungsraume offnen.

This white paper is part of a series that promotes knowledge about language technology and its potential. It addresses educators, journalists, politicians, language communities and others. The availability and use of language technology in Europe varies between languages. Consequently, the actions that are required to further support research and development of language technologies also differ for each language. The required actions depend on many factors, such as the complexity of a given language and the size of its community. META-NET, a Network of Excellence funded by the European Commission, has conducted an analysis of current language resources and technologies. This analysis focused on the 23 official European languages as well as other important national and regional languages in Europe. The results of this analysis suggest that there are many significant research gaps for each language.A more detailed expert analysis and assessment of the current situation will help maximise the impact of additional research and minimize any risks. META-NET consists of 54 research centres from 33 countries that are working with stakeholders from commercial businesses, government agencies, industry, research organisations, software companies, technology providers and European universities. Together, they are creating a common technology vision while developing a strategic research agenda that shows how language technology applications can address any research gaps by 2020.

This white paper is part of a series that promotes knowledge about language technology and its potential. It addresses educators, journalists, politicians, language communities and others. The availability and use of language technology in Europe varies between languages. Consequently, the actions that are required to further support research and development of language technologies also differ for each language. The required actions depend on many factors, such as the complexity of a given language and the size of its community. META-NET, a Network of Excellence funded by the European Commission, has conducted an analysis of current language resources and technologies. This analysis focused on the 23 official European languages as well as other important national and regional languages in Europe. The results of this analysis suggest that there are many significant research gaps for each language.A more detailed expert analysis and assessment of the current situation will help maximise the impact of additional research and minimize any risks. META-NET consists of 54 research centres from 33 countries that are working with stakeholders from commercial businesses, government agencies, industry, research organisations, software companies, technology providers and European universities. Together, they are creating a common technology vision while developing a strategic research agenda that shows how language technology applications can address any research gaps by 2020.

This book contains selected papers from the Colloquium in Honor of Alain Lecomte, held in Pauillac, France, in November 2007. The event was part of the ANR project "Prélude" (Towards Theoretical Pragmatics Based on Ludics and Continuation Theory), the proceedings of which were published in another FoLLI-LNAI volume (LNAI 6505) edited by Alain Lecomte and Samuel Tronçon. The selected papers of this Festschrift volume focus on the scientific areas in which Alain Lecomte has worked and to which he has contributed: formal linguistics, computational linguistics, logic, and cognition.

This book constitutes the refereed proceedings of the 14th International Conference on Formal Grammar 2009, held in Bordeaux, France, in July 2009. The 13 revised full papers presented, including two invited talks, were carefully reviewed and selected from 26 submissions. These articles in this book give an overview of new and original research on formal grammar, mathematical linguistics and the application of formal and mathematical methods to the study of natural language.

This two-volume set, consisting of LNCS 6608 and LNCS 6609, constitutes the thoroughly refereed proceedings of the 12th International Conference on Computer Linguistics and Intelligent Processing, held in Tokyo, Japan, in February 2011.The 74 full papers, presented together with 4 invited papers, were carefully reviewed and selected from 298 submissions. The contents have been ordered according to the following topical sections: lexical resources; syntax and parsing; part-of-speech tagging and morphology; word sense disambiguation; semantics and discourse; opinion mining and sentiment detection; text generation; machine translation and multilingualism; information extraction and information retrieval; text categorization and classification; summarization and recognizing textual entailment; authoring aid, error correction, and style analysis; and speech recognition and generation.

Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod­ els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe­ matical models even when they are simple and linear. This is because human information processing is based mainly on linguistic knowledge while com­ puter systems are designed to handle symbolic and numerical information. A large part of our daily communication is based on words. We learn from various media such as books, newspapers, magazines, TV, and the Inter­ net through words. We also communicate with others through words. While words play a central role in human information processing, linguistic models are not often used in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and model­ ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretability.

This volume collects landmark research in a burgeoning field of visual analytics for linguistics, called LingVis.