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Early detection of changes in patient's condition and making an accurate nursing diagnosis are crucial in clinical practice. Current protocol in nursing diagnosis highly depends on caregiver's experience. Demand on processing a large number of nursing documents and transferring expertise has become an important issue. This paper applies computational linguistics approach to extract knowledge and structural...
This study presents a penalized probabilistic First-Order Inductive Learning (pFOIL) approach to error diagnosis for Chinese as a Second Language (CSL) learners. The pFOIL approach is first proposed to characterize a sentence using multi-type background knowledge which contains the morphological, syntactic and semantic relations among the words in a sentence and quantized background knowledge with...
This paper presents a structural statistical machine translation (SSMT) model to deal with the data sparseness problem that occurs as a result of the necessarily small corpus to translate Chinese into Taiwanese Sign Language (TSL). A parallel bilingual corpus was developed, and linguistic information from the Sinica Treebank is adopted for Chinese sentence analysis. The synchronous context free grammar...
Sentence correction has been an important and emerging issue in computer-assisted language learning. However, existing techniques based on grammar rules or statistical machine translation are still not robust enough to tackle the common incorrect word order errors in sentences produced by second language learners of Chinese. In this paper, a novel relative position language model is proposed to address...
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