No detailed description available for "Text Processing / Textverarbeitung".

Text analysis; Data storage; data extraction; user interfaces; Data base management; Integrated systems; The next generation of text processing systems; List of algorithms; Information retrieval packages; Comparison of input formats; Comparison of sample search sessions; High frequency basic vocabulary.

bull; Demonstrates how Python is the perfect language for text-processing functions. bull; Provides practical pointers and tips that emphasize efficient, flexible, and maintainable approaches to text-processing challenges. bull; Helps programmers develop solutions for dealing with the increasing amounts of data with which we are all inundated.

The book presents the state-of-the-art in major aspects of text analysis and cognitive text processing by some of the most well-known European and American researchers in the field of text-linguistics and cognitive psychology. Comprehensive views and new perspectives are proposed in the following topics: cognitive and metacognitive aspects of text processing, structures and processes involved in the construction of multi-level semantic representations in relation with text and reader characteristics, achievement of local and global coherence of meaning during reading and comprehension, assessment of knowledge, knowledge acquisition of concepts and complex systems by text, and cognitive and metacognitive aspects of text production.

As technologies are fast advancing, the importance of text detection and recognition is receiving special attention from the researchers. Thus, one can see several real-time applications of video text processing which requires cognitive-based methods to find a solution. The main applications are (1) retrieving and indexing video based on semantic of the content of the video, (2) machine translation to assist foreigners, (3) assisting blind people to walk on the road freely without aid, (4) automatic vehicle driving, (5) license plate tracing to catch vehicles which violate the traffic signals, (6) monitoring the images posted on social media based on text and content of the images, (7) identifying the location based on the address of the street and shops, etc., (8) tracing players in the sports based on the jersey/bib number or text, and (9) in the same way, tracing the bib number in case of marathon and other events. For the above-mentioned applications, text detection and recognition in video and natural scene images is an integral part of the system.

Introduction of text processing; Introduction to PL/1 for Text processing; Introduction to SNOBOL for text processing; Overview of text processing packages and applications.