Abstract | ||
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Paraphrasing is an important aspect of language competence; however, EFL learners have long had difficulty paraphrasing in their writing owing to their limited language proficiency. Therefore, automatic paraphrase suggestion systems can be useful for writers. In this paper, we present PREFER, a paraphrase reference tool for helping language learners improve their writing skills. In this paper, we attempt to transform the paraphrase generation problem into a graphical problem in which the phrases are treated as nodes and translation similarities as edges. We adopt the PageRank algorithm to rank and filter the paraphrases generated by the pivot-based paraphrase generation method. We manually evaluate the performance of our method and assess the effectiveness of PREFER in language learning. The results show that our method successfully preserves both the semantic meaning and syntactic structure of the query phrase. Moreover, the students' writing performance improve most with the assistance of PREFER. |
Year | Venue | Keywords |
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2012 | BEA@NAACL-HLT | paraphrase reference tool,pivot-based paraphrase generation method,writing skill,automatic paraphrase suggestion system,language learning,language competence,graphical problem,limited language proficiency,language learner,graph-based approach,paraphrase generation problem |
Field | DocType | Citations |
Graph,Language proficiency,Linguistic competence,Computer science,Phrase,Paraphrase,Language acquisition,Natural language processing,Artificial intelligence,Writing skills,Linguistics,Syntactic structure | Conference | 3 |
PageRank | References | Authors |
0.40 | 8 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mei-Hua Chen | 1 | 12 | 5.69 |
Shih-Ting Huang | 2 | 70 | 8.56 |
Chung-Chi Huang | 3 | 28 | 9.43 |
Hsien-Chin Liou | 4 | 28 | 4.25 |
Jason S. Chang | 5 | 345 | 62.64 |