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Introduction to Natural Language Processing (Adaptive Computation and Machine Learning series) de 20 Aloha Street) Eisenstein, Jacob (Assistant Professor

Descripción - Reseña del editor A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing-methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field. Biografía del autor Jacob Eisenstein works at Google as a research scientist. He was previously on the faculty in the School of Interactive Computing at Georgia Institute of Technology.

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Detalles del Libro

• Name: Introduction to Natural Language Processing (Adaptive Computation and Machine Learning series)
  
• Autor: 20 Aloha Street) Eisenstein, Jacob (Assistant Professor
  
• Categoria: Libros,Libros universitarios y de estudios superiores,Ciencias informáticas
  
• Tamaño del archivo: 8 MB
  
• Tipos de archivo: PDF Document
  
• Idioma: Español
  
• Archivos de estado: AVAILABLE
  

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What is natural language processing natural language processing, or nlp for short, is broadly defined as the automatic manipulation of natural language, like speech and text, by software the study of natural language processing has been around for more than 50 years and grew out of the field of linguistics with the rise of computers in this post, you will discover what natural language processing is and Adaptive computation and machine learning series the mit adaptive computation and machine learning series adaptive computation and machine learning series the goal of building systems that can adapt to their environments and learn from their experience has attracted researchers from many fields, including computer science, engineering, mathematics, physics, neuroscience, and cognitive science Introduction to natural language processing adaptive introduction to natural language processing adaptive computation and machine learning series eisenstein, jacob on free shipping on qualifying offers introduction to natural language processing adaptive computation and machine learning series