Corpus similarity measures remain robust across diverse languages
Bibliographic Data
| ID | 10259356 |
|---|---|
| Authors | Haipeng Li (0000-0001-7747-0180), Jonathan Dunn (0000-0002-1189-1908, corresponding author) |
| Year | 2022 |
| Volume | 275 |
| Pages | 103377-103377 |
| Publication date | 2022-06-02 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Lingua (JOURNAL) |
| Journal identifiers | ISSN: 0024-3841 • E-ISSN: 1872-6135 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.lingua.2022.103377 |
| OpenAlex | W4281716122 |
| Language | EN |
| Citations received | 1 |
| References cited | 15 |
Image (mathematics · Linguistics · Machine translation · Natural language processing · Parallel corpora · Similarity (geometry · Task (project management · Variation (astronomy · Authorship Attribution and Profiling · Computer Science · Natural Language Processing Techniques · Topic Modeling · Artificial Intelligence
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |