| Title |
Incident-Driven Machine Translation and Name Tagging for Low-resource Languages
|
|---|---|
| Published in |
Machine Translation, October 2017
|
| DOI | 10.1007/s10590-017-9207-1 |
| Authors |
Ulf Hermjakob, Qiang Li, Daniel Marcu, Jonathan May, Sebastian J. Mielke, Nima Pourdamghani, Michael Pust, Xing Shi, Kevin Knight, Tomer Levinboim, Kenton Murray, David Chiang, Boliang Zhang, Xiaoman Pan, Di Lu, Ying Lin, Heng Ji |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 24% |
| Student > Doctoral Student | 3 | 14% |
| Lecturer | 2 | 10% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Professor | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 6 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 38% |
| Linguistics | 4 | 19% |
| Business, Management and Accounting | 1 | 5% |
| Engineering | 1 | 5% |
| Unknown | 7 | 33% |
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 08 December 2017.
All research outputs
#18,574,814
of 23,006,268 outputs
Outputs from Machine Translation
#102
of 130 outputs
Outputs of similar age
#250,993
of 327,882 outputs
Outputs of similar age from Machine Translation
#5
of 8 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 130 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 6th percentile – i.e., 6% 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 327,882 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.