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Probabilistic Approach of Parsing Bengali Sentences

机译:解析孟加拉语句子的概率方法

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摘要

Statistical parsing denotes the technique of syntactical analysis that is based on probabilistic inference from the corpus. In order to remove the structural ambiguity of sentences, a probabilistic technique of parsing Bengali sentences is proposed in this paper. In this paper, we use the CYK algorithm for parsing and apply binarization technique to improve the parsing efficiency. For this purpose, a set of probabilistic context-free grammars (PCFGs) is proposed based on intonation of the sentences and structures which are used for Bayesian inference. The proposed system is tested with 3500 sentences (10648 words) and achieved 85% overall accuracy for all kinds of Bengali sentences.
机译:统计解析表示基于来自语料库的概率推断的语法分析技术。为了消除句子的结构模糊,本文提出了一种解析孟加拉语句子的概率技术。在本文中,我们使用Cyk算法进行解析并应用二值化技术以提高解析效率。为此目的,基于用于贝叶斯推理的句子和结构的语调来提出一组概率无背景(PCFG)。拟议的系统用3500句话(10648个字)进行测试,并为各种孟加拉语判决实现了85%的总体准确性。

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