This study explores the design and application of natural language text-based processing systems, based on generative linguistics, empirical copus analysis, and artificial neural networks. It emphasizes the practical tools to accommodate the selected system.
Handbook of Natural Language Processing
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5 of 5 people found the following review helpful:
5.0 out of 5 stars
nlp made easy,
By Hajnalka Kis (Italy, Venice) - See all my reviews
This review is from: Handbook of Natural Language Processing (Chemical Industries Series) (Hardcover)
A great book with short chapters about 10-25 pages. It contains almost everything, what you could need if you're beginning your studies on the field of natural language processing, computational linguistics or if you're are just interested in it. Easy to understand and to use. Recommended reading for students! Level: intermediate
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First Sentence:
Ever since the early days of machine translation in the 1950s, work in natural language processing (NLP) has attempted to use symbolic methods-where knowledge about language is explicitly encoded in rules or other forms of representation-as a means to solving the problem of how to automatically process human languages. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
hybrid processing architectures, nonparallel corpora, tree cut model, regular grammar inference, unsegmented languages, bilingual lexicon acquisition, word hypothesis sequences, global symbol memory, surface realization components, subcategorization preference, ind pret, noisy bitexts, sentence segmentation algorithm, working memory units, extracting subcategorization frames, subsymbolic models, conceptual summarization, prefix tree automaton, hierarchical feature map, conjoined relative clauses, text segmentation algorithms, text planner, knowledgable teacher, aligning parallel texts, domain communication knowledge Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Comput Linguist, Lawrence Erlbaum, Artif Intell, Morgan Kaufmann, Academic Press, Cogn Sci, Microsoft Word, Cambridge University Press, Della Pietra, Connect Sci, International Joint Conference, Lecture Notes, Neural Comput, San Mateo, Kluwer Academic, Neural Information Processing Systems, Oxford University Press, Wall Street Journal, Mach Learn, World Wide Web, Department of Computer Science, Penn Treebank, Huffman Coding, Literary Linguist Comput New!
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Front Cover | Table of Contents | First Pages | Index | Surprise Me!
Ever since the early days of machine translation in the 1950s, work in natural language processing (NLP) has attempted to use symbolic methods-where knowledge about language is explicitly encoded in rules or other forms of representation-as a means to solving the problem of how to automatically process human languages. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
hybrid processing architectures, nonparallel corpora, tree cut model, regular grammar inference, unsegmented languages, bilingual lexicon acquisition, word hypothesis sequences, global symbol memory, surface realization components, subcategorization preference, ind pret, noisy bitexts, sentence segmentation algorithm, working memory units, extracting subcategorization frames, subsymbolic models, conceptual summarization, prefix tree automaton, hierarchical feature map, conjoined relative clauses, text segmentation algorithms, text planner, knowledgable teacher, aligning parallel texts, domain communication knowledge Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Comput Linguist, Lawrence Erlbaum, Artif Intell, Morgan Kaufmann, Academic Press, Cogn Sci, Microsoft Word, Cambridge University Press, Della Pietra, Connect Sci, International Joint Conference, Lecture Notes, Neural Comput, San Mateo, Kluwer Academic, Neural Information Processing Systems, Oxford University Press, Wall Street Journal, Mach Learn, World Wide Web, Department of Computer Science, Penn Treebank, Huffman Coding, Literary Linguist Comput New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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