Shallow Parser for Malayalam Language using Finite State Cascades
Various methods have been proposed for chunking sentences in agglutinative languages. For Malayalam a South Indian language, chunking methods proposed are mainly statistical. This paper describes a chunking method for Malayalam sentences based on morpheme based augmented transition network. For the trial set of sentences the system works with good accuracy with the set of chunk rules proposed. The chunking system has good potential for use as a full fledged parser for Malayalam language.
Finite automata shallow parsing Malayalam chunking augmented transition network
Latha R. Nair David Peter S
Division of Computer Science School of Engineering Cochin University of Science and Technology
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
2464-2467
2011-10-15(万方平台首次上网日期,不代表论文的发表时间)