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Mendeley readers
Chapter title |
Identification of Relevant and Redundant Automatic Metrics for MT Evaluation
|
---|---|
Chapter number | 12 |
Book title |
Multi-disciplinary Trends in Artificial Intelligence
|
Published by |
Springer, Cham, December 2016
|
DOI | 10.1007/978-3-319-49397-8_12 |
Book ISBNs |
978-3-31-949396-1, 978-3-31-949397-8
|
Authors |
Michal Munk, Daša Munková, Ľubomír Benko |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 2 | 20% |
Professor | 2 | 20% |
Lecturer | 1 | 10% |
Student > Doctoral Student | 1 | 10% |
Researcher | 1 | 10% |
Other | 2 | 20% |
Unknown | 1 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 4 | 40% |
Computer Science | 2 | 20% |
Linguistics | 1 | 10% |
Medicine and Dentistry | 1 | 10% |
Unknown | 2 | 20% |