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Computational Linguistics

Overview of attention for book
Computational Linguistics
Springer Berlin Heidelberg

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Using HFST for Creating Computational Linguistic Applications
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    Chapter 2 PSI-Toolkit: A Natural Language Processing Pipeline
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    Chapter 3 Fextor: A Feature Extraction Framework for Natural Language Processing: A Case Study in Word Sense Disambiguation, Relation Recognition and Anaphora Resolution
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    Chapter 4 Automatic Construction of a Dynamic Thesaurus for Proper Names
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    Chapter 5 A Multilingual Integrated Framework for Processing Lexical Collocations
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    Chapter 6 An Approach to Efficient Processing of Multi-word Units
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    Chapter 7 PRALED - A New Kind of Lexicographic Workstation
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    Chapter 8 Multidimensional and Multimodal Information in EcoLexicon
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    Chapter 9 Techniques for Multilingual Security-Related Event Extraction from Online News
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    Chapter 10 Automatic Metadata Generation in an Archaeological Digital Library: Semantic Annotation of Grey Literature
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    Chapter 11 Towards Automatic Detection of Various Types of Prominence in Read Aloud Russian Texts
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    Chapter 12 Translation Ambiguity Resolution Using Interactive Contextual Information
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    Chapter 13 Machine Translation at Work
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    Chapter 14 Anubis - Speeding Up Computer-Aided Translation
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    Chapter 15 Incorporating Subject Areas into the Apertium Machine Translation System
Attention for Chapter 13: Machine Translation at Work
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Chapter title
Machine Translation at Work
Chapter number 13
Book title
Computational Linguistics
Published in
Studies in Computational Intelligence, February 2016
DOI 10.1007/978-3-642-34399-5_13
Book ISBNs
978-3-64-234398-8, 978-3-64-234399-5
Authors

Aljoscha Burchardt, Cindy Tscherwinka, Eleftherios Avramidis, Hans Uszkoreit, Burchardt, Aljoscha, Tscherwinka, Cindy, Avramidis, Eleftherios, Uszkoreit, Hans

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 13%
Brazil 1 13%
Unknown 6 75%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 25%
Student > Master 2 25%
Student > Bachelor 1 13%
Student > Doctoral Student 1 13%
Student > Ph. D. Student 1 13%
Other 1 13%
Readers by discipline Count As %
Computer Science 3 38%
Arts and Humanities 2 25%
Business, Management and Accounting 1 13%
Linguistics 1 13%
Engineering 1 13%
Other 0 0%
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 10 July 2014.
All research outputs
#17,732,227
of 25,992,468 outputs
Outputs from Studies in Computational Intelligence
#1
of 1 outputs
Outputs of similar age
#250,161
of 408,661 outputs
Outputs of similar age from Studies in Computational Intelligence
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.0. This one scored the same or higher as 0 of them.
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 408,661 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them