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Large aligned treebanks for syntax-based machine translation

Overview of attention for article published in Language Resources and Evaluation, October 2016
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Mentioned by

twitter
2 X users

Readers on

mendeley
72 Mendeley
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Title
Large aligned treebanks for syntax-based machine translation
Published in
Language Resources and Evaluation, October 2016
DOI 10.1007/s10579-016-9369-0
Authors

Gideon Kotzé, Vincent Vandeghinste, Scott Martens, Jörg Tiedemann

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 14%
Researcher 10 14%
Student > Bachelor 6 8%
Student > Master 5 7%
Professor 2 3%
Other 10 14%
Unknown 29 40%
Readers by discipline Count As %
Computer Science 23 32%
Linguistics 11 15%
Arts and Humanities 2 3%
Business, Management and Accounting 1 1%
Agricultural and Biological Sciences 1 1%
Other 4 6%
Unknown 30 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 June 2017.
All research outputs
#15,002,375
of 23,854,458 outputs
Outputs from Language Resources and Evaluation
#192
of 331 outputs
Outputs of similar age
#185,865
of 323,296 outputs
Outputs of similar age from Language Resources and Evaluation
#3
of 5 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 331 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 38th percentile – i.e., 38% 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 323,296 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.