Abstractive morphological learning with a recurrent neural network
Datos Bibliográficos
| ID | 7994044 |
|---|---|
| Autores | Robert Malouf (San Diego State University, autor de correspondencia) |
| Año | 2017 |
| Volumen | 27 |
| Número | 4 |
| Páginas | 431-458 |
| Fecha de publicación | 2017-08-08 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Morphology (JOURNAL) |
| Identificadores de la revista | ISSN: 1871-5621 • E-ISSN: 1871-5656 |
| Editorial | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s11525-017-9307-x |
| OpenAlex | W2744098564 |
| Idioma | EN |
| Citas recibidas | 10 |
| Referencias citadas | 40 |
Analogy · Artificial neural network · Biology · Linguistics · Morphology (biology · Natural language processing · Range (aeronautics · Recurrent neural network · Set (abstract data type · Sign language · Word (group theory · Computer Science · Natural Language Processing Techniques · Speech and dialogue systems · Topic Modeling · Artificial Intelligence
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| Obras citantes distintas | 10 |
|---|---|
| Citas por año | 1,43 |
| Intervalo de citas | 2019 - 2026 (8) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 10 |