Book Reviews: Foundations of Statistical Natural Language Processing
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Summary
This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear and provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations.
- Type
- book
- Published
- 1999-06-18
- Cited by
- 5,746
- References
- 245
- OpenAlex
- https://openalex.org/W1574901103
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:52800448
Keywords
Computer science, Natural language processing, Artificial intelligence, Collocation (remote sensing), Parsing
References
- Structural Ambiguity and Conceptual Relations
- An Analysis of Statistical and Syntactic Phrases
- Morphological Tagging Based Entirely on Bayesian Inference
- A Perspective on Word Sense Disambiguation Methods and Their Evaluation
- Statistical language learning
- Estimating 'small' probabilities by leaving-one-out
- Knowledge Resource Tools for Accessing Large Text Files
- Morphology and computation
- Geometry in Nature
- PARSEME.1st : SGML for software developers
- Readings in information retrieval.
- Translating Collocations for Bilingual Lexicons: A Statistical Approach
- Guidelines for electronic text encoding and interchange
- Adaptive Multilingual Sentence Boundary Disambiguation
- Bilingual Sentence Alignment: Balancing Robustness and Accuracy
- XML: A Primer
- Disambiguating Highly Ambiguous Words
- Statistical methods for speech recognition
- Selection and information: a class-based approach to lexical relationships
- Roget's International Thesaurus
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