Downloads provided by UsageCounts
This paper presents the results of a study evaluating the feasibility of automatic acquisition of small-scale diachronic Latin corpora for linguistic research. The study was conducted on a collection of Neo-Latin works composed by Polish authors, using tools for automatic segmentation (Kraken) and text recognition (Calamari OCR).
Paper, image processing and analysis, OCR, Humanities computing, FOS: Languages and literature, Neo-Latin, database creation, optical character recognition and handwriting recognition, Linguistics, Poster, and analysis, diachronic corpora, management
Paper, image processing and analysis, OCR, Humanities computing, FOS: Languages and literature, Neo-Latin, database creation, optical character recognition and handwriting recognition, Linguistics, Poster, and analysis, diachronic corpora, management
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 13 | |
| downloads | 10 |

Views provided by UsageCounts
Downloads provided by UsageCounts