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Mendeley readers
| Chapter title |
Using WordNet-Based Word Sense Disambiguation to Improve MT Performance
|
|---|---|
| Chapter number | 8 |
| Book title |
Hybrid Approaches to Machine Translation
|
| Published by |
Springer, Cham, January 2016
|
| DOI | 10.1007/978-3-319-21311-8_8 |
| Book ISBNs |
978-3-31-921310-1, 978-3-31-921311-8
|
| Authors |
Špela Vintar, Darja Fišer, Vintar, Špela, Fišer, Darja |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 33% |
| Student > Doctoral Student | 1 | 17% |
| Professor | 1 | 17% |
| Student > Master | 1 | 17% |
| Researcher | 1 | 17% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Arts and Humanities | 2 | 33% |
| Business, Management and Accounting | 1 | 17% |
| Linguistics | 1 | 17% |
| Computer Science | 1 | 17% |
| Economics, Econometrics and Finance | 1 | 17% |
| Other | 0 | 0% |