面向noj词典的传感器最小化与信息压缩

Slim Mesfar, M. Silberztein
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引用次数: 5

摘要

在本文中,我们描述了最小、无循环、确定性FST的增量构造方法的使用。该方法包括通过一个接一个地添加新字符串并逐渐最小化结果自动机,在一个步骤中构建换能器。然后,我们提出了一种新的方法来编码与词典条目相关的形态学信息。新的编码统一了大量的词形分析,从而减少了字典的FST的终端状态的数量,从而触发了一个更有效的最小化过程。最后,我们给出了代表阿拉伯语词典的FST的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transducer Minimization and Information Compression for NooJ Dictionaries
In this paper, we describe the use of an incremental construction method of minimal, acyclic, deterministic FST. The approach consists in constructing a transducer in a single step by adding new strings one by one and minimizing the resultant automaton incrementally. Then, we present a new method to encode the morphological information associated with the dictionary entries. The new encoding unifies a large number of word forms' analyses, thus reducing the number of terminal states of the dictionary's FST, that triggers a more efficient minimization process. Finally, we present experimental results on the FST that represents the Arabic dictionary.
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