Coarse-to-fine natural language processing
Slav Petrov (Springer, 2012)
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| 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. |
 Coarse-to-Fine Natural Language Processing.pdf :: Unduh
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| No. Panggil : | e20399710 |
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| 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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| No. Panggil | No. Barkod | Ketersediaan |
|---|---|---|
| e20399710 | TERSEDIA |
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| Tidak ada ulasan pada koleksi ini: 20399710 |
