You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
Mendeley readers
Chapter title |
DUSTer: A Method for Unraveling Cross-Language Divergences for Statistical Word-Level Alignment
|
---|---|
Chapter number | 4 |
Book title |
Machine Translation: From Research to Real Users
|
Published by |
Springer, Berlin, Heidelberg, October 2002
|
DOI | 10.1007/3-540-45820-4_4 |
Book ISBNs |
978-3-54-044282-0, 978-3-54-045820-3
|
Authors |
Bonnie J. Dorr, Lisa Pearl, Rebecca Hwa, Nizar Habash, Dorr, Bonnie J., Pearl, Lisa, Hwa, Rebecca, Habash, Nizar |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 2% |
Egypt | 1 | 2% |
Unknown | 44 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 20% |
Student > Bachelor | 4 | 9% |
Student > Ph. D. Student | 4 | 9% |
Lecturer | 3 | 7% |
Student > Master | 3 | 7% |
Other | 5 | 11% |
Unknown | 18 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 26% |
Linguistics | 6 | 13% |
Arts and Humanities | 1 | 2% |
Agricultural and Biological Sciences | 1 | 2% |
Business, Management and Accounting | 1 | 2% |
Other | 5 | 11% |
Unknown | 20 | 43% |