Volume 11, Issue 2 (3-2015)
JSDP 2015, 11(2): 71-80 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
khallash M, Minaei-Bidgoli B. Effect of morphologies on Persian dependency parsing. JSDP 2015; 11 (2) :71-80
URL: http://jsdp.rcisp.ac.ir/article-1-124-en.html
URL: http://jsdp.rcisp.ac.ir/article-1-124-en.html
Abstract: (7537 Views)
Data-driven systems can be adapted to different languages and domains easily. Using this trend in dependency parsing was lead to introduce data-driven approaches. Existence of appreciate corpora that contain sentences and theirs associated dependency trees are the only pre-requirement in data-driven approaches. Despite obtaining high accurate results for dependency parsing task in English language, for many of other languages with high free-word order and rich morphology, most applying algorithms lead to drop in accuracy compared to English language. Therefore, data-driven systems require careful selection of features and tuning of parameters to reach optimal performance.
A dependency corpus for Persian language introduced recently. Persian language has high free-word order and rich morphology. In this paper we try to find detect effective factors for decreasing parsing accuracy and we present solutions to improve the accuracy.
Type of Study: Research |
Subject:
Paper
Received: 2013/06/14 | Accepted: 2014/12/6 | Published: 2015/03/22 | ePublished: 2015/03/22
Received: 2013/06/14 | Accepted: 2014/12/6 | Published: 2015/03/22 | ePublished: 2015/03/22
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
