论文标题
建造odia浅解析器
Building Odia Shallow Parser
论文作者
论文摘要
对于许多NLP应用程序,例如机器翻译,摘要,情感分析,方面识别等等,浅解析是一项必不可少的任务。质量注释的语料库对于建立准确的浅解析器至关重要。对于一般情况下,许多印度语言的资源很差。因此,本文是为浅解析器创建优质语料库的尝试。本文的贡献是两个折叠:创建POS和块注释的Cordia和开发基线系统,用于ODIA的POS标记和块。
Shallow parsing is an essential task for many NLP applications like machine translation, summarization, sentiment analysis, aspect identification and many more. Quality annotated corpora is critical for building accurate shallow parsers. Many Indian languages are resource poor with respect to the availability of corpora in general. So, this paper is an attempt towards creating quality corpora for shallow parsers. The contribution of this paper is two folds: creation pos and chunk annotated corpora for Odia and development of baseline systems for pos tagging and chunking in Odia.