Computational Linguistics: Applications

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The ever-growing popularity of Google over the recent decade has required a specific method of man-machine communication: human query should be short, whereas the machine answer may take a form of a wide range of documents. This type of communication has triggered a rapid development in the domain of Information Extraction, aimed at providing the asker with a more precise information.

The recent success of intelligent personal assistants supporting users in searching or even extracting information and answers from large collections of electronic documents signals the onset of a new era in man-machine communication – we shall soon explain to our small devices what we need to know and expect valuable answers quickly and automatically delivered.

The progress of man-machine communication is accompanied by growth in the significance of applied Computational Linguistics – we need machines to understand much more from the language we speak naturally than it is the case of up-to-date search systems. Moreover, we need machine support in crossing language barriers that is necessary more and more often when facing the global character of the Web.

This books reports on the latest developments in the field. It contains 15 chapters written by researchers who aim at making linguistic theories work – for the better understanding between the man and the machine.

Author(s): Krister Lindén, Erik Axelson, Senka Drobac, Sam Hardwick, Miikka Silfverberg (auth.), Adam Przepiórkowski, Maciej Piasecki, Krzysztof Jassem, Piotr Fuglewicz (eds.)
Series: Studies in Computational Intelligence 458
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2013

Language: English
Pages: 296
Tags: Computational Intelligence; Language Translation and Linguistics; Artificial Intelligence (incl. Robotics)

Front Matter....Pages 1-7
Front Matter....Pages 1-1
Using HFST for Creating Computational Linguistic Applications....Pages 3-25
PSI-Toolkit: A Natural Language Processing Pipeline....Pages 27-39
Fextor: A Feature Extraction Framework for Natural Language Processing: A Case Study in Word Sense Disambiguation, Relation Recognition and Anaphora Resolution....Pages 41-62
Front Matter....Pages 63-63
Automatic Construction of a Dynamic Thesaurus for Proper Names....Pages 65-85
A Multilingual Integrated Framework for Processing Lexical Collocations....Pages 87-108
An Approach to Efficient Processing of Multi-word Units....Pages 109-129
PRALED - A New Kind of Lexicographic Workstation....Pages 131-141
Multidimensional and Multimodal Information in EcoLexicon....Pages 143-161
Techniques for Multilingual Security-Related Event Extraction from Online News....Pages 163-186
Automatic Metadata Generation in an Archaeological Digital Library: Semantic Annotation of Grey Literature....Pages 187-202
Towards Automatic Detection of Various Types of Prominence in Read Aloud Russian Texts....Pages 203-215
Front Matter....Pages 217-217
Translation Ambiguity Resolution Using Interactive Contextual Information....Pages 219-240
Machine Translation at Work....Pages 241-261
Anubis - Speeding Up Computer-Aided Translation....Pages 263-280
Incorporating Subject Areas into the Apertium Machine Translation System....Pages 281-292
Back Matter....Pages 0--1