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Syntactic parsing is a central problem and a challenge in the field of natural language processing. It attracts many studies and consequently there exists the effective parsers for several popular languages such as English and Chinese. For Vietnamese parsing, there have been a few studies focusing on this problem, these studies lack of applying modern techniques, and no popular parser has been released...
Chinese named entity recognition is one of the most important tasks in NLP. The paper mainly describes our work on NER tasks. The paper built up a system under the framework of conditional random fields (CRFs) model. With an improved tag set the system gets an F-value of 93.49 using SIGHAN2007 MSRA corpus.
Performance of statistical machine translation (SMT) systems relies on the availability of a large parallel corpus which is used to estimate translation probabilities. However, the generation of such corpus is a long and expensive process. In this paper, we introduce two methods for efficient selection of training data to be translated by humans. Our methods are motivated by active learning and aim...
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