藏文三音节轻动词结构识别

Weina Zhao, Lin Li, Huidan Liu, Jian Wu
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引用次数: 1

摘要

藏语三音节轻动词结构是由双音节名词或形容词和轻动词组成的一种广泛使用的动词短语。藏文中广泛存在着大量的藏文三音节轻动词结构。成功识别这类短语对藏文信息处理有很大的帮助,但这方面的学术研究尚未深入系统。因此,本文提出了一个基于整合策略的藏文三音节轻动词结构识别模型。首先,我们从藏语语料库中提取所有三音节轻动词结构候选词。在这一步中,轻动词被用作检索标记。其次,分别使用基于统计的模型、基于规则的模型和集成模型对候选对象进行筛选。实验结果表明,该模型的性能明显优于其他策略,证明了语言特征对计算机自动识别藏文三音节轻动词结构有很大的帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tibetan Trisyllabic Light Verb Construction Recognition
The Tibetan trisyllabic light verb construction is a type of widely used verb phrase that is composed of a disyllabic noun or adjective and a light verb. A large number of Tibetan trisyllabic light verb constructions are widely found in Tibetan. Successfully recognizing this type of phrase greatly contributes to Tibetan information processing, however, thorough and systematic academic research in this field has not yet been launched. Therefore, we propose a model for the recognition of Tibetan trisyllabic light verb constructions based on an integrated strategy in this paper. Firstly, we extract all trisyllabic light verb construction candidates from a Tibetan corpus. In this step, light verbs are used as retrieval marks. Secondly, we filter candidates using a statistics-based model, rule-based model, and integrated model separately. Experimental results show that the integrated model performs much better than the other strategies, which proves that linguistic features contribute a lot to the automatic recognition of Tibetan trisyllabic light verb constructions by computers.
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