The impact of co-occurrence and context on the prediction of long-distance separable prefixes
Bibliographic Data
| ID | 4358511 |
|---|---|
| Authors | Daniel R Walter, Daniel Walter (0000-0003-1527-6125, Emory University, corresponding author), Brian Macwhinney (0000-0002-4988-1342, Carnegie Mellon University) |
| Year | 2018 |
| Volume | 58 |
| Pages | 24-33 |
| Publication date | 2018-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Language & Communication (JOURNAL) |
| Journal identifiers | ISSN: 0271-5309 • E-ISSN: 1873-3395 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.langcom.2017.11.001 |
| OpenAlex | W2773455118 |
| Language | EN |
| References cited | 30 |
German · Linguistics · Natural language processing · Predictability · Prefix · Sentence · Separable space · Statistics · Verb · Computer Science · History · Language and cultural evolution · Mathematics · Natural Language Processing Techniques · Topic Modeling · Artificial Intelligence
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| Citation velocity | historical |
|---|---|
| Highly cited | No |