Sukhareva, Maria ; Fuscagni, Francesco ; Daxenberger, Johannes ; Görke, Susanne ; Prechel, Doris ; Gurevych, Iryna (2017):
Distantly Supervised POS Tagging of Low-Resource Languages under Extreme Data Sparsity: The Case of Hittite.
In: LaTeCH-CLfL '17 Proceedings of the 11th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, pp. 95-104,
Vancouver, BC, Canada, [Conference or Workshop Item]
Abstract
This paper presents a statistical approach to automatic morphosyntactic annotation of Hittite transcripts. Hittite is an extinct Indo-European language using the cuneiform script. There are currently no morphosyntactic annotations available for Hittite, so we explored methods of distant supervision. <br />The annotations were projected from parallel German translations of the Hittite texts. In order to reduce data sparsity, we applied stemming of German and Hittite texts. As there is no off-the-shelf Hittite stemmer, a stemmer for Hittite was developed for this purpose. The resulting annotation projections were used to train a POS tagger, achieving an accuracy of 69\% on a test sample. To our knowledge, this is the first attempt of statistical POS tagging of a cuneiform language.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2017 |
| Creators: | Sukhareva, Maria ; Fuscagni, Francesco ; Daxenberger, Johannes ; Görke, Susanne ; Prechel, Doris ; Gurevych, Iryna |
| Title: | Distantly Supervised POS Tagging of Low-Resource Languages under Extreme Data Sparsity: The Case of Hittite |
| Language: | English |
| Abstract: | This paper presents a statistical approach to automatic morphosyntactic annotation of Hittite transcripts. Hittite is an extinct Indo-European language using the cuneiform script. There are currently no morphosyntactic annotations available for Hittite, so we explored methods of distant supervision. <br />The annotations were projected from parallel German translations of the Hittite texts. In order to reduce data sparsity, we applied stemming of German and Hittite texts. As there is no off-the-shelf Hittite stemmer, a stemmer for Hittite was developed for this purpose. The resulting annotation projections were used to train a POS tagger, achieving an accuracy of 69\% on a test sample. To our knowledge, this is the first attempt of statistical POS tagging of a cuneiform language. |
| Book Title: | LaTeCH-CLfL '17 Proceedings of the 11th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities |
| Uncontrolled Keywords: | reviewed;CEDIFOR;UKP_reviewed;UKP_s_DKPro_Core;POS tagging, low resource languages, Hittite |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Ubiquitous Knowledge Processing |
| Event Location: | Vancouver, BC, Canada |
| Date Deposited: | 13 Jun 2017 11:45 |
| URL / URN: | http://www.aclweb.org/anthology/W17-2213 |
| Identification Number: | TUD-CS-2017-0133 |
| PPN: | |
| Corresponding Links: | |
| Projects: | CEDIFOR |
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