A Quantitative Analysis of the English Lexicon in Wiktionaries and WordNet

Author:

Krizhanovsky Andrew1

Affiliation:

1. Institution of the Russian Academy of Sciences - Institute of Applied Mathematical Research of the Karelian Research Centre, Karelia, Russia

Abstract

A quantitative analysis of the English lexicon was done in the paper. The three electronic dictionaries are under examination: the English Wiktionary, WordNet, and the Russian Wiktionary. It was calculated the quantity of English words and meanings (senses) in these dictionaries. The distribution of words for each part of speech, the quantity of monosemous and polysemous words and the distribution of words by number of meanings were calculated and compared across these dictionaries. The analysis shows that the average polysemy, the number and the distribution of word senses follow similar patterns in both expert and collaborative resources with relatively minor differences.

Publisher

IGI Global

Subject

Decision Sciences (miscellaneous),Information Systems

Reference21 articles.

1. Measuring the Semantic Distance between Languages from a Statistical Analysis of Bilingual Dictionaries*

2. Darmstadt, T. U. (2008). JWKTL. Retrieved from http://www.ukp.tu-darmstadt.de/software/jwktl/

3. Harabagiu, S., & Moldovan, D. (1995). A marker-propagation algorithm for text coherence. In Working Notes of the Workshop on Parallel Processing at the 14th International Joint Conference on Artificial Intelligence, Montreal, QC, Canada (pp. 76-86). Retrieved from http://www.seas.smu.edu/~sanda/papers/parai.ps.gz

4. He, Q. (2009). Automatic pronunciation dictionary generation from Wiktionary and Wikipedia (Unpublished doctoral dissertation). Karlsruhe Institute of Technology, Karlsruhe, Germany. Retrieved from http://csl.anthropomatik.kit.edu/index.php?id=25

5. Krizhanovsky, A. A. (2010). Transformation of Wiktionary entry structure into tables and relations in a relational database schema. Retrieved from http://arxiv.org/abs/1011.1368

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Linked Lexical Knowledge Bases: Foundations and Applications;Synthesis Lectures on Human Language Technologies;2016-07-12

2. Automatic Topic Ontology Construction Using Semantic Relations from WordNet and Wikipedia;International Journal of Intelligent Information Technologies;2013-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3