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Performance of a Lexical and POS Tagger for Sanskrit

机译:梵文词汇和POS标记的性能

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Due to the phonetic, morphological, and lexical complexity of Sanskrit, the automatic analysis of this language is a real challenge in the area of natural language processing. The paper describes a series of tests that were performed to assess the accuracy of the tagging program SanskritTagger. To our knowlegde, it offers the Grst reliable benchmark data for evaluating the quality of taggers for Sanskrit using an unrestricted dictionary and texts from different domains. Based on a detailed analysis of the test results, the paper points out possible directions for future improvements of statistical tagging procedures for Sanskrit.
机译:由于梵语的语音,词法和词汇复杂性,在自然语言处理领域中,对这种语言的自动分析是一个真正的挑战。本文介绍了一系列评估标签程序SanskritTagger准确性的测试。据我们所知,它提供了Grst可靠的基准数据,用于使用不受限制的字典和来自不同域的文本来评估梵语标记的质量。在对测试结果进行详细分析的基础上,本文指出了今后改进梵文统计标签程序的可能方向。

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