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Statistical Language and Speech Processing

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Author Profiling in Social Media: The Impact of Emotions on Discourse Analysis
  3. Altmetric Badge
    Chapter 2 Neural Machine Translation by Generating Multiple Linguistic Factors
  4. Altmetric Badge
    Chapter 3 Analysis and Automatic Classification of Some Discourse Particles on a Large Set of French Spoken Corpora
  5. Altmetric Badge
    Chapter 4 Learning Morphology of Natural Language as a Finite-State Grammar
  6. Altmetric Badge
    Chapter 5 Incorporating Coreference to Automatic Evaluation of Coherence in Essays
  7. Altmetric Badge
    Chapter 6 Graph-Based Features for Automatic Online Abuse Detection
  8. Altmetric Badge
    Chapter 7 Exploring Temporal Analysis of Tweet Content from Cultural Events
  9. Altmetric Badge
    Chapter 8 Towards a Relation-Based Argument Extraction Model for Argumentation Mining
  10. Altmetric Badge
    Chapter 9 Three Experiments on the Application of Automatic Speech Recognition in Industrial Environments
  11. Altmetric Badge
    Chapter 10 Enriching Confusion Networks for Post-processing
  12. Altmetric Badge
    Chapter 11 Attentional Parallel RNNs for Generating Punctuation in Transcribed Speech
  13. Altmetric Badge
    Chapter 12 Lightweight Spoken Utterance Classification with CFG, tf-idf and Dynamic Programming
  14. Altmetric Badge
    Chapter 13 Low Latency MaxEnt- and RNN-Based Word Sequence Models for Punctuation Restoration of Closed Caption Data
  15. Altmetric Badge
    Chapter 14 Unsupervised Speech Unit Discovery Using K-means and Neural Networks
  16. Altmetric Badge
    Chapter 15 Noise and Speech Estimation as Auxiliary Tasks for Robust Speech Recognition
  17. Altmetric Badge
    Chapter 16 Unified Approach to Development of ASR Systems for East Slavic Languages
  18. Altmetric Badge
    Chapter 17 A Regularization Post Layer: An Additional Way How to Make Deep Neural Networks Robust
  19. Altmetric Badge
    Chapter 18 Detecting Stuttering Events in Transcripts of Children’s Speech
  20. Altmetric Badge
    Chapter 19 Introducing AmuS: The Amused Speech Database
  21. Altmetric Badge
    Chapter 20 Lexical Emphasis Detection in Spoken French Using F-BANKs and Neural Networks
  22. Altmetric Badge
    Chapter 21 Speaker Change Detection Using Binary Key Modelling with Contextual Information
  23. Altmetric Badge
    Chapter 22 Perception of Expressivity in TTS: Linguistics, Phonetics or Prosody?
Attention for Chapter 11: Attentional Parallel RNNs for Generating Punctuation in Transcribed Speech
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Chapter title
Attentional Parallel RNNs for Generating Punctuation in Transcribed Speech
Chapter number 11
Book title
Statistical Language and Speech Processing
Published in
Lecture notes in computer science, October 2017
DOI 10.1007/978-3-319-68456-7_11
Book ISBNs
978-3-31-968455-0, 978-3-31-968456-7
Authors

Alp Öktem, Mireia Farrús, Leo Wanner, Öktem, Alp, Farrús, Mireia, Wanner, Leo

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 21%
Student > Ph. D. Student 5 21%
Professor 4 17%
Student > Doctoral Student 2 8%
Lecturer 2 8%
Other 5 21%
Unknown 1 4%
Readers by discipline Count As %
Computer Science 16 67%
Linguistics 2 8%
Social Sciences 2 8%
Agricultural and Biological Sciences 1 4%
Mathematics 1 4%
Other 1 4%
Unknown 1 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 October 2021.
All research outputs
#15,505,836
of 23,043,346 outputs
Outputs from Lecture notes in computer science
#4,659
of 8,144 outputs
Outputs of similar age
#205,204
of 327,947 outputs
Outputs of similar age from Lecture notes in computer science
#22
of 44 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,144 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 327,947 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.

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