Titlebook: Natural Language Processing Using Very Large Corpora; Susan Armstrong,Kenneth Church,David Yarowsky Book 1999 Springer Science+Business Me

Cuisine

Ossification

Robust Bilingual Word Alignment for Machine Aided Translation,he program takes the output of . (Church, 1993), a robust alternative to sentence-based alignment programs, and applies word-level constraints using a version of Brown ..’s Model 2 (Brown .., 1993), modified and extended to deal with robustness issues. . was tested on a subset of Canadian Hansards s

道學(xué)氣

深陷

Trainable Coarse Bilingual Grammars for Parallel Text Bracketing, scarce: (1) coarse bilingual grammars, and (2) unsupervised training of such grammars via EM (expectation-maximization). Both methods build upon a formalism we recently introduced called .. The first approach borrows a coarse monolingual grammar into our bilingual formalism, in order to transfer kn

jaundiced

混合

Comparing the Retrieval Performance of English and Japanese Text Databases,xicon, morphology, syntax, semantics and pragmatics, can be applied to these systems. A query as a representation of the user’s ., is entered to a retrieval system, and the system retrieves the . documents from the (possibly gigabytes of) full-text database. Information retrieval (IR) relies on usin

鞏固

Inverse Document Frequency (IDF): A Measure of Deviations from Poisson,tity borrowed from Information Retrieval, to distinguish words like . and .. Both . and . appeared approximately 1000 times in a corpus of 1989 Associated Press articles, but . is a better keyword because its IDF is farther from what would be expected by chance (Poisson).

種植,培養(yǎng)

978-90-481-5349-7Springer Science+Business Media Dordrecht 1999

finale

sed-rate

Text, Speech and Language Technologyhttp://image.papertrans.cn/n/image/661800.jpg