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| Title |
Knowledge Distillation for Translating Erroneous Speech Transcriptions
|
|---|---|
| Published in |
Journal of Natural Language Processing, January 2022
|
| DOI | 10.5715/jnlp.29.344 |
| Authors |
Ryo Fukuda, Katsuhito Sudoh, Satoshi Nakamura |
Twitter Demographics
The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 4 | 44% |
| Finland | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 13% |
| Researcher | 3 | 13% |
| Student > Ph. D. Student | 2 | 9% |
| Student > Bachelor | 2 | 9% |
| Librarian | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 26% |
| Linguistics | 5 | 22% |
| Agricultural and Biological Sciences | 1 | 4% |
| Social Sciences | 1 | 4% |
| Unknown | 10 | 43% |