Kategoria BISAC: Computers >> Artificial Intelligence - Natural Language Processing

Research in Natural Language Processing (NLP) has rapidly advanced in recent years, resulting in exciting algorithms for sophisticated processing of text and speech in various languages. Much of this work focuses on English; in this book we address another group of interesting and challenging languages for NLP research: the Semitic languages. The Semitic group of languages includes Arabic (206 million native speakers), Amharic (27 million), Hebrew (7 million), Tigrinya (6.7 million), Syriac (1 million) and Maltese (419 thousand). Semitic languages exhibit unique morphological processes,...

With the advent and increasing popularity of Computer Supported Collaborative Learning (CSCL) and e-learning technologies, the need of automatic assessment and of teacher/tutor support for the two tightly intertwined activities of comprehension of reading materials and of collaboration among peers has grown significantly. In this context, a polyphonic model of discourse derived from Bakhtin's work as a paradigm is used for analyzing both general texts and CSCL conversations in a unique framework focused on different facets of textual cohesion.

As...

• Speech Production, Analysis, Coding and Synthesis;
  
• Automatic Speech Recognition;
  
• Paralinguistic Speaker Trait Characterization;
  
• Speech and Language Technologies in Different Application Fields
  

This book constitutes the thoroughly refereed post-workshop proceedings of the 17th Chinese Lexical Semantics Workshop, CLSW 2016, held in Singapore, Singapore, in May 2016.

The 70 regular papers included in this volume were carefully reviewed and selected from 182 submissions. They are organized in topical sections named: lexicon and morphology, the syntax-semantics interface, corpus and resource, natural language processing, case study of lexical semantics, extended study and application.

This book constitutes the refereed proceedings of the 12th China Workshop on Machine Translation, CWMT 2016, held in Urumqi, China, in August 2016.
The 10 English papers presented in this volume were carefully reviewed and selected from 76 submissions. They deal with statistical machine translation, hybrid machine translation, machine translation evaluation, post editing, alignment, and inducing bilingual knowledge from corpora.

Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you'll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext and other tidy tools in R can make text analysis easier and more effective.

The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and...

The dream of a universal translation device goes back many decades, long before Douglas Adams's fictional Babel fish provided this service in The Hitchhiker's Guide to the Galaxy. Since the advent of computers, research has focused on the design of digital machine translation tools -- computer programs capable of automatically translating a text from a source language to a target language. This has become one of the most fundamental tasks of artificial intelligence. This volume in the MIT Press Essential Knowledge series offers a concise, nontechnical overview of the development of...

Das Buch erklart die wesentlichen Ansatze zur Sprachsynthese und zur Spracherkennung und vermittelt die dafur relevanten Grundlagen. Dazu gehoren insbesondere:

• Grundkenntnisse uber die menschliche Sprachproduktion und Sprachwahrnehmung
• Eigenschaften von Sprachsignalen und ihre Darstellung
• Grundkenntnisse in Linguistik, insbes. Phonetik, Morphologie und Syntax
• die wichtigsten Transformationen und Methoden der digitalen Sprachsignalverarbeitung
• statistische Ansatze zur Beschreibung vieldimensionaler Groen und komplexer Zusammenhange...

Natural Language Processing (NLP) offers unbounded opportunities for solving interesting problems in artificial intelligence, making it the latest frontier for developing intelligent, deep learning-based applications. If you're a developer or researcher ready to dive deeper into this rapidly growing area of artificial intelligence, this practical book shows you how to use the PyTorch deep learning framework to implement recently discovered NLP techniques. To get started, all you need is a machine learning background and experience programming with Python.

Authors Delip Rao and Goku...