Detail Buku
| Judul Buku | : | Introduction to Natural Language Processing (Adaptive Computation and Machine Learning series) |
| Penulis | : |
Jacob Eisenstein
|
| Penerbit | : | The MIT Press |
| Tahun Terbit | : | 2019 |
| Subject | : |
Natural Language Processing (Computer Science)
|
| ISBN | : | 9780262042840 |
| Nomor Klasifikasi | : | 006.3 Jac i Kp. 2 |
| Lokasi Buku | : | Lt.1 |
Sinopsis / Abstrak
Introduction to Natural Language Processing provides a technical, entry-level graduate text that covers foundational and contemporary approaches to NLP. Written by Jacob Eisenstein, the book emphasizes a unified statistical perspective, linking classical computational linguistics with modern deep learning methods. Key topics include text classification, sequence labeling, language modeling, syntactic parsing, semantics, and discourse analysis, alongside machine translation and neural network architectures. Designed for advanced undergraduate and graduate students in computer science, it provides the mathematical background and algorithmic details necessary to understand and implement state-of-the-art NLP models.
Deskripsi
Buku ini membahas fondasi matematis dan algoritma utama secara terstruktur, mencakup pemrosesan teks (text classification), pelabelan urutan (sequence labeling), pemodelan bahasa (language modeling), sintaksis dan analisis wacana, hingga pemrosesan makna (semantics). Selain itu, dibahas pula aplikasi praktis seperti mesin penerjemah bahasa (machine translation) dan arsitektur jaringan saraf tiruan (neural networks). Buku ini sangat ideal sebagai bahan ajar tingkat lanjut maupun referensi utama bagi mahasiswa, peneliti, dan praktisi di bidang kecerdasan buatan (AI) dan data science.
Eksemplar
1 Eksemplar| No | Barcode Number | Ketersediaan | Boleh Dipinjam | Kondisi |
|---|---|---|---|---|
| 1 | 24.8561.014866 | Tersedia | Ya | Baik |