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Mongolian lexical analysis is the first step in Mongolian information processing such as Chinese-Mongolian machine translation. In this paper, we introduce a statistic and rule based approach to solving the Mongolian word segmentation & POS tagging all at once. In this method, we use tree frame as basic statistical model. And then we combine the model with some rules to improve the lexical analysis...
In this paper, we applied VB-EM algorithm to generate a probability of constituent combination for PGLR parser. Three linguistic features which are simple PCFG, head-outward dependency and head-emission were calculated. The probabilities were used in a parsing process to find the best probable output tree. From our experiment, the parsing result from a combination of all features for first path and...
The lexical language model is recently the hotspot in grammar research, which is promoted by incorporating the phrase head with statistics. This paper summarizes about four improving language models which belong to this kind of model: they have utilized heads that is extracted by CFG and calculated the probability between the heads or inside CFG. Different from N-gram and SCFG, the probability calculation...
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