A focused crawler for Romanian words discovery

Ionut-Gabriel Radu, Traian Rebedea
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引用次数: 2

Abstract

As all natural languages are subject to change over time and as the Web becomes more prevalent, it also constitutes a major source for identifying language evolution. Although these changes affect all linguistic branches ranging from phonetics, lexicon and grammar to semantics and pragmatics, we will focus only on discovering new potential words that entered the Romanian lexicon or alternative forms (lexicalizations) that are frequently used. In this paper we describe the architecture of a system which models the rate of Romanian vocabulary growth based on different statistics gathered by a focused web crawler. In order to validate the proposed system, the paper also presents the main new words identified by the system in online texts written in Romanian.
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一个集中的爬虫罗马尼亚词发现
由于所有的自然语言都会随着时间的推移而变化,并且随着Web的普及,它也构成了识别语言进化的主要来源。尽管这些变化影响了从语音学、词汇和语法到语义学和语用学的所有语言分支,但我们将只关注发现进入罗马尼亚语词典的新潜在单词或经常使用的替代形式(词汇化)。在本文中,我们描述了一个系统的架构,该系统基于一个集中的网络爬虫收集的不同统计数据来模拟罗马尼亚词汇增长的速度。为了验证所提出的系统,本文还介绍了该系统在罗马尼亚语书写的在线文本中识别的主要新词。
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