Grammar Automatic Checking System for English Abstract of Master’s Thesis
| Autor: | Pan Yu, Ziheng Wu, Xu Yueting, Erang Lu, Tianxiong Yang, Han Huang |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Service (systems architecture)
Grammar Computer science business.industry media_common.quotation_subject 05 social sciences Word processing Treebank 050301 education 020207 software engineering 02 engineering and technology computer.software_genre Internet studies 0202 electrical engineering electronic engineering information engineering Master s The Internet Artificial intelligence business Sentence segmentation 0503 education computer Natural language processing media_common |
| Zdroj: | Bio-inspired Computing – Theories and Applications ISBN: 9789811036132 BIC-TA (2) |
| DOI: | 10.1007/978-981-10-3614-9_61 |
| Popis: | Although the technology of natural language processing was proposed several years ago, there are few Internet-based systems of English automatic grammar checking which is of help for beginner academic writers. This paper introduces our research results of an automatic grammar checking system for English article abstracts. We proposed four improved basic methods of natural language processing like sentence segmentation, multi-level indexes of words, Penn treebank and increment artificial rules for the system. Experimental results indicate that the proposed system is able to detect more grammar mistakes than other popular similar systems such as 1Checkerm Microsoft word and NonPlus. Furthermore, our system provides free service for Internet users. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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