综合考虑可行性和准确性，提 出了旨在降低分词难度和提高分词精度的基于汉语句模理论的处理策略。
It brings forward a strategy based on Chinese sentence model for decreasing the difficulties and improving the accuracy of segmentation.
使用自动分词知识可以进一步提高自动切分精度，满足高标准的需求。
Knowledge of Chinese words automatic segmentation can raise the precision of automatic segmentation, and it can satisfy high precision requirements.
通过XML技术组织答案知识库，利用基于统计的方法进行分词与匹配，有效地提高了查询的精度。
Setting up the result knowledge bank with XML technique and breaking down and matching with statistics way, the accuracy of query is improved greatly.
切分歧义是影响汉语自动分词系统精度的一个重要因素。
Segmentation Ambiguity is an important factor influencing accuracy of Chinese auto-segmentation system.
歧义处理是影响分词系统切分精度的重要因素，是自动分词系统设计中的一个最困难也是最核心的问题。
Ambiguity processing is an important factor to determine the precise of a word segmenting system, and a most difficult and essential problem of automated word segmenting system.
根据以上分析，我们提出了一种基于记忆的处理策略，可有效改善实用型非受限汉语自动分词系统的精度。
As a consequence, we propose a memory-based strategy that is expected to improve the performance of practical Chinese word segmenters significantly.
根据以上分析，我们提出了一种基于记忆的处理策略，可有效改善实用型非受限汉语自动分词系统的精度。
As a consequence, we propose a memory-based strategy that is expected to improve the performance of practical Chinese word segmenters significantly.
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