Parser combinators for Tigrinya and Oromo morphology

被引：0

作者：

Littell, Patrick ^{[1
]}

McCoy, Tom ^{[2
]}

Han, Na-Rae ^{[3
]}

Rijhwani, Shruti ^{[4
]}

Sheikh, Zaid ^{[4
]}

Mortensen, David ^{[4
]}

Mitamura, Teruko ^{[4
]}

Levin, Lori ^{[4
]}

机构：

[1] Natl Res Council Canada, Digital Technol, 1200 Montreal Rd, Ottawa, ON K1A 0R6, Canada

[2] Johns Hopkins Univ, Dept Cognit Sci, 3400 N Charles St, Baltimore, MD 21218 USA

[3] Univ Pittsburgh, Dept Linguist, 2816 Cathedral Learning, Pittsburgh, PA 15260 USA

[4] Carnegie Mellon Univ, Language Technol Inst, 5000 Forbes Ave, Pittsburgh, PA 15213 USA

来源：

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018) | 2018年

关键词：

morphology; parsing; Tigrinya; Oromo;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We present rule-based morphological parsers in the Tigrinya and Oromo languages, based on a parser-combinator rather than finite-state paradigm. This paradigm allows rapid development and ease of integration with other systems, although at the cost of non-optimal theoretical efficiency. These parsers produce multiple output representations simultaneously, including lemmatization, morphological segmentation, and an English word-for-word gloss, and we evaluate these representations as input for entity detection and linking and humanitarian need detection.

引用

页码：3867 / 3874

页数：8