About the Book
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 98. Chapters: Kleene star, Information retrieval, Natural language, SHRDLU, Example-based machine translation, Word sense disambiguation, DATR, Automatic summarization, Stemming, Question answering, SemEval, Latent semantic analysis, NooJ, Text mining, Sentiment analysis, History of machine translation, N-gram, Legal information retrieval, Information extraction, Paco Nathan, Automatic Acquisition of Sense-Tagged Corpora, Text analytics, Lexical Markup Framework, News analytics, Terminology extraction, Powerset, Multi-document summarization, Text Retrieval Conference, METEOR, Machine translation software usability, Grammar checker, William Aaron Woods, Filtered-popping recursive transition network, Natural language user interface, Tatoeba, Grammar induction, TipTop Technologies, Attensity, Lesk algorithm, Noisy text analytics, Language identification, Robby Garner, History of natural language processing, Speech segmentation, Document structuring, T9, Controlled natural language, String kernel, Lexalytics, Content determination, ETBLAST, Word sense induction, Transderivational search, ClearForest, Lexical choice, Referring expression generation, Aggregation, Studies in NLP, Sentic computing, Languageware, GeneRIF, Open domain question answering, Document classification, Microsoft text-to-speech voices, Production, Modular Audio Recognition Framework, Realization, MAREC, Semantic neural network, Bag of words model, Sentence extraction, Natural Language Toolkit, Concept mining, Logic form, Ontology learning, Text-to-voice, Language Computer Corporation, Document-term matrix, Bigram, Text simplification, IGlue, Synthetix, Discourse relation, Lexical substitution, Brill tagger, CMU Pronouncing Dictionary, Computational semantics, W-shingling, Morphological pattern, Multilingual notation, Teragram Corporation, Latent semantic mapping, ...
