Learning the countability of English nouns from corpus data
This paper describes a method for learning the countability preferences of English nouns from raw text corpora. The method maps the corpus-attested lexico-syntactic properties of each noun onto a feature vector, and uses a suite of memory-based classifiers t...
Saved in:
| Main Authors: | , |
|---|---|
| 其他作者: | |
| 格式: | Conference or Workshop Item |
| 語言: | English |
| 出版: |
2011
|
| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/92279 http://hdl.handle.net/10220/6825 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 機構: | Nanyang Technological University |
| 語言: | English |
| 總結: | This paper describes a method for learning
the countability preferences of English
nouns from raw text corpora. The method
maps the corpus-attested lexico-syntactic
properties of each noun onto a feature
vector, and uses a suite of memory-based
classifiers to predict membership in 4
countability classes. We were able to assign
countability to English nouns with a
precision of 94.6%. |
|---|