Matches in SemOpenAlex for { <https://semopenalex.org/work/W2250464850> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2250464850 abstract "In this study, we describe our system submitted to the 2nd Workshop on Natural Language Processing Techniques for Educational Applications (NLP-TEA-2) shared task on Chinese grammatical error diagnosis (CGED). We use a statistical machine translation method already applied to several similar tasks (Brockett et al., 2006; Chiu et al., 2013; Zhao et al., 2014). In this research, we examine corpus-augmentation and explore alternative translation models including syntaxbased and hierarchical phrase-based models. Finally, we show variations using different combinations of these factors." @default.
- W2250464850 created "2016-06-24" @default.
- W2250464850 creator A5042652397 @default.
- W2250464850 creator A5061044862 @default.
- W2250464850 creator A5061931124 @default.
- W2250464850 date "2015-01-01" @default.
- W2250464850 modified "2023-09-26" @default.
- W2250464850 title "Improving Chinese Grammatical Error Correction with Corpus Augmentation and Hierarchical Phrase-based Statistical Machine Translation" @default.
- W2250464850 cites W2098297786 @default.
- W2250464850 cites W2116594867 @default.
- W2250464850 cites W2120831529 @default.
- W2250464850 cites W2123388068 @default.
- W2250464850 cites W2138673435 @default.
- W2250464850 cites W2144950812 @default.
- W2250464850 cites W2146574666 @default.
- W2250464850 cites W2152263452 @default.
- W2250464850 cites W2176658910 @default.
- W2250464850 cites W2250296797 @default.
- W2250464850 cites W2250936944 @default.
- W2250464850 cites W2251613956 @default.
- W2250464850 cites W2251799008 @default.
- W2250464850 cites W2251862950 @default.
- W2250464850 cites W3038079389 @default.
- W2250464850 doi "https://doi.org/10.18653/v1/w15-4417" @default.
- W2250464850 hasPublicationYear "2015" @default.
- W2250464850 type Work @default.
- W2250464850 sameAs 2250464850 @default.
- W2250464850 citedByCount "8" @default.
- W2250464850 countsByYear W22504648502016 @default.
- W2250464850 countsByYear W22504648502018 @default.
- W2250464850 countsByYear W22504648502019 @default.
- W2250464850 countsByYear W22504648502020 @default.
- W2250464850 countsByYear W22504648502023 @default.
- W2250464850 crossrefType "proceedings-article" @default.
- W2250464850 hasAuthorship W2250464850A5042652397 @default.
- W2250464850 hasAuthorship W2250464850A5061044862 @default.
- W2250464850 hasAuthorship W2250464850A5061931124 @default.
- W2250464850 hasBestOaLocation W22504648501 @default.
- W2250464850 hasConcept C104317684 @default.
- W2250464850 hasConcept C105580179 @default.
- W2250464850 hasConcept C130597682 @default.
- W2250464850 hasConcept C149364088 @default.
- W2250464850 hasConcept C154945302 @default.
- W2250464850 hasConcept C185592680 @default.
- W2250464850 hasConcept C203005215 @default.
- W2250464850 hasConcept C204321447 @default.
- W2250464850 hasConcept C24687705 @default.
- W2250464850 hasConcept C2776224158 @default.
- W2250464850 hasConcept C28490314 @default.
- W2250464850 hasConcept C41008148 @default.
- W2250464850 hasConcept C51802942 @default.
- W2250464850 hasConcept C55493867 @default.
- W2250464850 hasConceptScore W2250464850C104317684 @default.
- W2250464850 hasConceptScore W2250464850C105580179 @default.
- W2250464850 hasConceptScore W2250464850C130597682 @default.
- W2250464850 hasConceptScore W2250464850C149364088 @default.
- W2250464850 hasConceptScore W2250464850C154945302 @default.
- W2250464850 hasConceptScore W2250464850C185592680 @default.
- W2250464850 hasConceptScore W2250464850C203005215 @default.
- W2250464850 hasConceptScore W2250464850C204321447 @default.
- W2250464850 hasConceptScore W2250464850C24687705 @default.
- W2250464850 hasConceptScore W2250464850C2776224158 @default.
- W2250464850 hasConceptScore W2250464850C28490314 @default.
- W2250464850 hasConceptScore W2250464850C41008148 @default.
- W2250464850 hasConceptScore W2250464850C51802942 @default.
- W2250464850 hasConceptScore W2250464850C55493867 @default.
- W2250464850 hasLocation W22504648501 @default.
- W2250464850 hasOpenAccess W2250464850 @default.
- W2250464850 hasPrimaryLocation W22504648501 @default.
- W2250464850 hasRelatedWork W1674885750 @default.
- W2250464850 hasRelatedWork W171331851 @default.
- W2250464850 hasRelatedWork W2136332941 @default.
- W2250464850 hasRelatedWork W2250821182 @default.
- W2250464850 hasRelatedWork W2294868251 @default.
- W2250464850 hasRelatedWork W2503849903 @default.
- W2250464850 hasRelatedWork W3204448004 @default.
- W2250464850 hasRelatedWork W49707343 @default.
- W2250464850 hasRelatedWork W626175318 @default.
- W2250464850 hasRelatedWork W80085545 @default.
- W2250464850 isParatext "false" @default.
- W2250464850 isRetracted "false" @default.
- W2250464850 magId "2250464850" @default.
- W2250464850 workType "article" @default.