eBooks :: Kembali

eBooks :: Kembali

Coarse-to-fine natural language processing

Slav Petrov (Springer, 2012)

 Abstrak

This book develops a general coarse-to-fine framework for learning and inference in large statistical models for natural language processing.
Coarse-to-fine approaches exploit a sequence of models which introduce complexity gradually. At the top of the sequence is a trivial model in which learning and inference are both cheap. Each subsequent model refines the previous one, until a final, full-complexity model is reached. Applications of this framework to syntactic parsing, speech recognition and machine translation are presented, demonstrating the effectiveness of the approach in terms of accuracy and speed.

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Jenis Koleksi : eBooks
No. Panggil : e20399710
Entri utama-Nama orang :
Subjek :
Penerbitan : Berlin: Springer, 2012
Sumber Pengatalogan: LibUI eng rda
Tipe Konten: text
Tipe Media: computer
Tipe Pembawa: online resource
Deskripsi Fisik:
Tautan: http://link.springer.com/book/10.1007%2F978-3-642-22743-1
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