A Rule-Based Acquisition Model Adapted for Morphological Analysis

被引：0

作者：

Lignos, Constantine ^{[1
]}

Chan, Erwin ^{[2
]}

Marcus, Mitchell P. ^{[1
]}

Yang, Charles ^{[1
]}

机构：

[1] Univ Penn, Philadelphia, PA 19104 USA

[2] Univ Arizona, Tucson, AZ 85721 USA

来源：

MULTILINGUAL INFORMATION ACCESS EVALUATION I: TEXT RETRIEVAL EXPERIMENTS | 2010年 / 6241卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We adapt the cognitively-oriented morphology acquisition model proposed in (Chan 2008) to perform morphological analysis, extending its concept of base-derived relationships to allow multi-step derivations and adding features required for robustness on noisy corpora. This results in a rule-based morphological analyzer which attains an F-score of 58.48% in English and 33.61% in German in the Morph Challenge 2009 Competition 1 evaluation. The learner's performance shows that acquisition models can effectively be used in text-processing tasks traditionally dominated by statistical approaches.

引用

页码：658 / +

页数：3

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