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Future and Emerging Trends in Language Technology. Machine Learning and Big Data

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Table of Contents

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    Book Overview
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    Chapter 1 With or Without Meaning? Hype Cycles in Language Technology and What We Can Learn from Them
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    Chapter 2 Observatory for Language Resources and Machine Translation in Europe – LT_Observatory
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    Chapter 3 The Rise of the Conversational Interface: A New Kid on the Block?
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    Chapter 4 Spanish Language Technologies Plan
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    Chapter 5 Improving Collaboration Between the European Language Technology Industry and Research: A New Framework for Supply and Demand
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    Chapter 6 LifeLine Dialogues with Roberta
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    Chapter 7 An Affective Utility Model of User Motivation for Counselling Dialogue Systems
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    Chapter 8 Exploring Flexibility in Natural Language Generation Through Discursive Analysis of New Textual Genres
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    Chapter 9 Bootstrapping Technique + Embeddings = Emotional Corpus Annotated Automatically
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    Chapter 10 Rapid Construction of a Web-Enabled Medical Speech to Sign Language Translator Using Recorded Video
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    Chapter 11 Incorporating Syllable Phonotactics to Improve Grapheme to Phoneme Translation
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    Chapter 12 Hybrid Conceptual and Statistical Measure for Semantic Textual Similarity Evaluation
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    Chapter 13 General Representation Model for Text Similarity
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    Chapter 14 Extending Feature Decay Algorithms Using Alignment Entropy
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    Chapter 15 Towards a Topic Discovery and Tracking System with Application to News Items
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Title
Future and Emerging Trends in Language Technology. Machine Learning and Big Data
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-69365-1
ISBNs
978-3-31-969364-4, 978-3-31-969365-1
Editors

José F Quesada, Francisco-Jesús Martín Mateos, Teresa López Soto

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X Demographics

The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 24%
Student > Master 5 24%
Student > Ph. D. Student 2 10%
Student > Doctoral Student 1 5%
Lecturer 1 5%
Other 0 0%
Unknown 7 33%
Readers by discipline Count As %
Computer Science 8 38%
Linguistics 1 5%
Business, Management and Accounting 1 5%
Psychology 1 5%
Social Sciences 1 5%
Other 0 0%
Unknown 9 43%