Distracters Generation Algorithm for Near-Shaped English Word Combined with its Part of Speech
| Autor: | Li Ming Duan, Rong Li Gai, Xiao Hui Sun, Hong Zheng Li, Fei Gao |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
business.industry
Computer science Speech recognition General Engineering Process (computing) computer.software_genre Part of speech Longest common subsequence problem Similarity (network science) Edit distance Artificial intelligence business Algorithm computer Word (computer architecture) Natural language processing |
| Zdroj: | Advanced Materials Research. :3422-3425 |
| ISSN: | 1662-8985 |
| DOI: | 10.4028/www.scientific.net/amr.926-930.3422 |
| Popis: | Low similarity and unreasonable design now appeared in distracters generation of English words in the process of learning English words. This paper proposed a new algorithm to solve this problem by researching Edit Distance and LCS algorithm. Comparing with traditional algorithms, the accuracy of similarity has been improved in this algorithm. Finally, combined with words’ part of speech, we generated more reasonable distracters in the experiments. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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