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Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
String Parsing.
Provides a comprehensive guide to parsing techniques, including context-free grammars, parsing algorithms, and error recovery. It is suitable for advanced undergraduates and graduate students.
Provides an overview of string parsing techniques, including lexers, parsers, and regular expressions. It is suitable for both beginners and experienced programmers.
Provides a comprehensive overview of information retrieval, including string matching and text processing techniques. It is suitable for advanced undergraduates and graduate students.
Provides a comprehensive overview of data structures and algorithms, including string processing algorithms. It is suitable for both beginners and experienced programmers.
Provides a comprehensive overview of speech and language processing, including string parsing techniques. It is suitable for advanced undergraduates and graduate students.
Provides a comprehensive overview of pattern recognition and machine learning, including string matching and text processing techniques. It is suitable for advanced undergraduates and graduate students.
Covers a wide range of topics in natural language processing, including parsing. It provides a practical introduction to the field, using Python as the programming language.
This comprehensive textbook covers a wide range of topics in speech and language processing, including parsing. It provides a thorough introduction to the field, making it suitable for both undergraduate and graduate students.
This introductory textbook covers a wide range of topics in computational linguistics, including parsing. It provides a clear and concise overview of the field, making it suitable for beginners.
Focuses on transition-based dependency parsing, which subtopic within string parsing. It provides a detailed introduction to the topic, including various transition-based dependency parsing models and their applications.
For more information about how these books relate to this course, visit:
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