Part of Speech Tagging for Ancient Greek
Bibliographic Data
| ID | 21239746 |
|---|---|
| Authors | Giuseppe G A Celano (0000-0002-7699-2566, Leipzig University), Gregory Crane (0000-0001-6847-2811, Leipzig University), Saeed Majidi (Tufts University) |
| Year | 2016 |
| Volume | 2 |
| Issue | 1 |
| Publication date | 2016-10-14 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Open Linguistics (JOURNAL) |
| Journal identifiers | ISSN: 2300-9969 • E-ISSN: 2300-9969 |
| Publisher | Walter de Gruyter GmbH (PUBLISHER • DE) |
| DOI | 10.1515/opli-2016-0020 |
| OpenAlex | W2530151296 |
| Language | EN |
| Citations received | 1 |
In this article we report the results for five POS taggers, i.e., the Mate tagger, the Hunpos tagger, RFTagger, theOpenNLP tagger, andNLTKUnigramtagger, tested on the data of the Ancient Greek Dependency Treebank. This is done in order to find the most efficient POS tagger to use for pre-annotation of new treebank data. A corrected 1-run 10-fold cross validation t test shows that the Mate tagger outperforms all the other taggers, with an accuracy score of 88
Annotation · Dependency grammar · Linguistics · Natural language processing · Part of speech · Treebank · Computer Science · Mathematics, Computing, and Information Processing · Natural Language Processing Techniques · Topic Modeling · Artificial Intelligence
| Citations per year | 0.33 |
|---|---|
| Citation span | 2023 - 2023 (1) |
| Highly cited | No |