A nearest-neighbor approach to the automatic analysis of ancient Greek morphology
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | CoNLL 2008 - Proceedings of the Twelfth Conference on Computational Natural Language Learning |
| Pages | 127-134 |
| Publication status | Published - 2008 |
| Externally published | Yes |
Conference
| Title | 12th Conference on Computational Natural Language Learning, CoNLL 2008 |
|---|---|
| Place | United Kingdom |
| City | Manchester |
| Period | 16 - 17 August 2008 |
Link(s)
Abstract
We propose a data-driven method for automatically analyzing the morphology of ancient Greek. This method improves on existing ancient Greek analyzers in two ways. First, through the use of a nearestneighbor machine learning framework, the analyzer requires no hand-crafted rules. Second, it is able to predict novel roots, and to rerank its predictions by exploiting a large, unlabelled corpus of ancient Greek. © 2008.
Citation Format(s)
A nearest-neighbor approach to the automatic analysis of ancient Greek morphology. / Lee, John.
CoNLL 2008 - Proceedings of the Twelfth Conference on Computational Natural Language Learning. 2008. p. 127-134.
CoNLL 2008 - Proceedings of the Twelfth Conference on Computational Natural Language Learning. 2008. p. 127-134.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
