一种压缩词汇的方法

S. Ristov, Eric Guy Claude Laporte
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引用次数: 2

摘要

只提供摘要形式。词典查找几乎是每个自然语言处理系统的重要组成部分。自然语言词典是一组字符串,其中每个字符串由一个单词和相关的语言数据组成。它的计算机表示是一种结构,它在给定的输入词上返回适当的语言数据。它应该小而快。我们提出了一种基于高效的trie压缩方法和倒排文件范式的词典压缩方法。该方法应用于一个664000字串、18mbyte的法语语音和语法电子词典,用于拼写到语音的转换。词典中的条目是由单词、其音标和一些附加代码组成的字符串。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A method for compressing lexicons
Summary form only given. Lexicon lookup is an essential part of almost every natural language processing system. A natural language lexicon is a set of strings where each string consists of a word and the associated linguistic data. Its computer representation is a structure that returns appropriate linguistic data on a given input word. It should be small and fast. We propose a method for lexicon compression based on a very efficient trie compression method and the inverted file paradigm. The method was applied on a 664000 string, 18 Mbyte, French phonetic and grammatical electronic dictionary for spelling-to-phonetics conversion. Entries in the lexicon are strings consisting of a word, its phonetic transcription, and some additional codes.
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