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Statistical Language and Speech Processing

Overview of attention for book
Cover of 'Statistical Language and Speech Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Grapheme-to-Phoneme Transduction for Cross-Language ASR
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    Chapter 2 Conditioned Text Generation with Transfer for Closed-Domain Dialogue Systems
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    Chapter 3 FacTweet: Profiling Fake News Twitter Accounts
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    Chapter 4 Named Entity Recognition for Icelandic: Annotated Corpus and Models
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    Chapter 5 BERT-Based Sentiment Analysis Using Distillation
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    Chapter 6 A Cognitive Approach to Parsing with Neural Networks
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    Chapter 7 S-Capade: Spelling Correction Aimed at Particularly Deviant Errors
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    Chapter 8 Exploring Parameter Sharing Techniques for Cross-Lingual and Cross-Task Supervision
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    Chapter 9 A Discourse-Informed Approach for Cost-Effective Extractive Summarization
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    Chapter 10 Towards eXplainable AI in Text Features Engineering for Concept Recognition
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    Chapter 11 A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification
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    Chapter 12 ANN-MLP Classifier of Native and Nonnative Speakers Using Speech Rhythm Cues
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    Chapter 13 Deep Variational Metric Learning for Transfer of Expressivity in Multispeaker Text to Speech
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    Chapter 14 Generative Adversarial Network-Based Semi-supervised Learning for Pathological Speech Classification
Attention for Chapter 6: A Cognitive Approach to Parsing with Neural Networks
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4 Mendeley
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Chapter title
A Cognitive Approach to Parsing with Neural Networks
Chapter number 6
Book title
Statistical Language and Speech Processing
Published by
Springer, Cham, October 2020
DOI 10.1007/978-3-030-59430-5_6
Book ISBNs
978-3-03-059429-9, 978-3-03-059430-5
Authors

Vigneshwaran Muralidaran, Irena Spasić, Dawn Knight

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Researcher 1 25%
Lecturer > Senior Lecturer 1 25%
Unknown 1 25%
Readers by discipline Count As %
Linguistics 1 25%
Computer Science 1 25%
Unknown 2 50%

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