The Transformation-based Error-driven Learning and Conditional Random Fields are used to solve the problem of transformation between two different standards of segmentation and POS tagging.
通过基于转换的错误驱动学习和条件随机场解决不同切词、词性标注标准间的转换问题。
参考来源 - 中文词法分析与句法分析融合策略研究 in C·2,447,543篇论文数据，部分数据来源于NoteExpress
最后将理解结果反馈回切词系统，从而实现切词系统的自反馈和自我完善。
At last, it feeds back the true resulting of segment to the words segmentation system.
本文提出了“形式词”概念，并在形式词的基础上，进一步研究了确定切词单位的非语法因素，包括语义因素、语音因素。
Based on the conception of formal word, the author inquires into the non grammatical factors for determination of segmentation element. They include the semantic factors, phonetic factors.
他从不知“失败”一词，他想做的一切都成功了。
He knew no such word as "fall", and he succeeded in all he tried to do.
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