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Natural Language Annotation For Machine

Create your own natural language training corpus for machine learning. This example-driven book walks you through the annotation cycle;

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The Oxford Handbook of Computational Linguistics

of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students;

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Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

First International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2013, held in Suzhou, China;

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Data-Driven Methods for Adaptive Spoken Dialogue Systems

been introduced for dialogue management, spoken language understanding, and Natural Language Generation. Machine learning is now present end;

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Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2016, held in Yantai City, China, in October 2016;

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Using Comparable Corpora for Under Resourced Areas of Machine Translation

translation systems for under-resourced languages and domains. It presents a wealth of methods and open tools for building comparable corpora from the;

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Artificial Intelligence and Natural Language

papers are organized according to the following topics: data acquisition and annotation; human-computer interaction; statistical natural language;

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Statistical Machine Translation

explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and;

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Evaluation of Text and Speech Systems

agents, part-of-speech tagging, parsing, and natural language software like machine translation, information retrieval, question answering;

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Introduction to Natural Language Processing

A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical;

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Machine Learning with PySpark

Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business;

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Human-Machine Interaction in Translation

in translation, which were the two main foci of the 8th International Workshop on Natural Language Processing and Cognitive Science (NLPCS 2011), held at;

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Natural Language Processing Recipes

natural language processing techniques. Identify machine learning and deep learning techniques for natural language processing and natural;

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Machine Learning for Text

This second edition textbook covers a coherently organized framework for text analytics, which integrates material drawn from the;

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Applied Natural Language Processing with Python

Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document;

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Natural Language Processing and Chinese Computing

This two-volume set of LNAI 11838 and LNAI 11839 constitutes the refereed proceedings of the 8th CCF Conference on Natural Language;

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Natural Language Processing and Chinese Computing

This two-volume set of LNAI 11838 and LNAI 11839 constitutes the refereed proceedings of the 8th CCF Conference on Natural Language;

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Essentials of Language Documentation

underpinnings for compiling a representative and lasting multipurpose record of a natural language. This volume presents in-depth introductions to major;

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Coarse-to-Fine Natural Language Processing

models for natural language processing. Coarse-to-fine approaches exploit a sequence of models which introduce complexity gradually. At the;

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Python Natural Language Processing

Learning and Deep Learning techniques for efficient natural language processing * Get started with NLTK and implement NLP in your applications;

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Turkish Natural Language Processing

proved to be a fascinating language for natural language and speech processing research and applications. After an overview of the aspects;

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Natural Language Processing and Chinese Computing

This two volume set of LNAI 11108 and LNAI 11109 constitutes the refereed proceedings of the 7th CCF Conference on Natural Language;

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Natural Language Processing and Chinese Computing

This two-volume set of LNAI 12340 and LNAI 12341 constitutes the refereed proceedings of the 9th CCF Conference on Natural Language;

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Artificial Intelligence and the Changing Nature of Corporations

This book explains how various forms of artificial intelligence, namely machine learning, natural language processing, and robotic process;

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Natural Language Processing and Chinese Computing

This two-volume set of LNAI 12340 and LNAI 12341 constitutes the refereed proceedings of the 9th CCF Conference on Natural Language;

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Artificial Intelligence and the Changing Nature of Corporations

This book explains how various forms of artificial intelligence, namely machine learning, natural language processing, and robotic process;

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Human-in-the-Loop Machine Learning

. Human-in-the-Loop Machine Learning is a practical guide to optimizing the entire machine learning process, including techniques for annotation;

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