A BLAST-based, Language-agnostic Text Reuse Algorithm with a Markus Implementation and Sequence Alignment Optimized for Large Chinese Corpora
Bibliographic Data
| ID | 21245347 |
|---|---|
| Authors | Paul Vierthaler (0000-0002-2135-9499), Mees Gelein, Meet Gelein |
| Year | 2019 |
| Volume | 4 |
| Issue | 2 |
| Publication date | 2019-03-22 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Cultural Analytics (JOURNAL) |
| Journal identifiers | ISSN: 2371-4549 • E-ISSN: 2371-4549 |
| Publisher | CA: Journal of Cultural Analytics (PUBLISHER) |
| DOI | 10.22148/16.034 |
| OpenAlex | W3005998127 |
| Language | EN |
| Citations received | 3 |
Until relatively recently, following the life of a phrase or passage from its origin as it is quoted, reused, and remixed through a large corpus of Chinese writing was extremely difficult. Yet identifying how and when a document is appropriating materials from earlier works is critical in many domains
Natural language processing · Phrase · Reuse · Computer Science · Engineering · Mathematics, Computing, and Information Processing · Natural Language Processing Techniques · Semantic Web and Ontologies · Artificial Intelligence
| Citations per year | 0.5 |
|---|---|
| Citation span | 2020 - 2025 (6) |
| Highly cited | No |