Foundations of Statistical Natural Language ProcessingMIT Press, 28 mei 1999 - 720 pagina's Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It 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. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications. |
Inhoudsopgave
| 3 | |
60 | 24 |
Mathematical Foundations | 39 |
Linguistic Essentials | 81 |
78 | 114 |
CorpusBased Work | 117 |
Collocations | 151 |
ngram Models over Sparse Data | 191 |
PartofSpeech Tagging | 341 |
Probabilistic Context Free Grammars | 381 |
Probabilistic Parsing | 407 |
Statistical Alignment and Machine Translation | 463 |
Clustering | 495 |
Topics in Information Retrieval | 529 |
Text Categorization | 575 |
Text Categorization | 607 |
Overige edities - Alles bekijken
Foundations of Statistical Natural Language Processing Christopher Manning,Hinrich Schutze Gedeeltelijke weergave - 1999 |
Foundations of Statistical Natural Language Processing Christopher Manning,Hinrich Schutze Gedeeltelijke weergave - 1999 |
Foundations of Statistical Natural Language Processing Christopher Manning,Hinrich Schutze Geen voorbeeld beschikbaar - 1999 |
Veelvoorkomende woorden en zinsdelen
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