
doi: 10.5334/johd.229
The present article summarises a bootstrapping approach to Syriac corpus linguistics that gives freedom for Syriac researchers to apply part-of-speech (POS) tagging technology on texts of their choice using the SEDRA API mechanism and offers an annotated corpus based on this method using a representative and well-balanced selection of Syriac manuscripts spanning one millennium.
Syriac, POS tagging, historical linguistics, pos tagging, Language and Literature, AZ20-999, History of scholarship and learning. The humanities, P, syriac, manuscripts
Syriac, POS tagging, historical linguistics, pos tagging, Language and Literature, AZ20-999, History of scholarship and learning. The humanities, P, syriac, manuscripts
| 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 |
