Matches in SemOpenAlex for { <https://semopenalex.org/work/W4328011281> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W4328011281 abstract "Chinese text recognition has been one of the hot topics. Although there are many text recognition methods available, some problems are still not effectively solved, such as the appearance of Chinese characters that do not appear in the training process. Previous Chinese text recognition methods have not thoroughly solved this problem, and many of them are based on English text recognition methods. English words can be split into different character, and Chinese character can be similarly split Chinese characters into multiple stroke sequences, then recognize the stroke sequences, and finally connect the stroke sequences into sentences. Howerver, the same sequence of strokes can form different Chinese characters, so a sequence of strokes can also form different sentences. To solve this confusion problem, a text classification model is trained to rank all possible sentences and then find the one that best matches the normal semantics." @default.
- W4328011281 created "2023-03-22" @default.
- W4328011281 creator A5000944309 @default.
- W4328011281 creator A5027496772 @default.
- W4328011281 creator A5069255958 @default.
- W4328011281 date "2022-12-09" @default.
- W4328011281 modified "2023-09-26" @default.
- W4328011281 title "A Semantic Enhanced Chinese Text Recognition Method Based on Stroke Decomposing" @default.
- W4328011281 cites W2127141656 @default.
- W4328011281 cites W2194187530 @default.
- W4328011281 cites W2194775991 @default.
- W4328011281 cites W2294053032 @default.
- W4328011281 cites W2493916176 @default.
- W4328011281 cites W2810983211 @default.
- W4328011281 cites W2903384846 @default.
- W4328011281 cites W2945136398 @default.
- W4328011281 cites W2963233387 @default.
- W4328011281 cites W2963526661 @default.
- W4328011281 cites W2964065044 @default.
- W4328011281 cites W2965066169 @default.
- W4328011281 cites W3003218881 @default.
- W4328011281 cites W3003349377 @default.
- W4328011281 cites W3003711889 @default.
- W4328011281 cites W3003921261 @default.
- W4328011281 cites W3034447740 @default.
- W4328011281 cites W3035449864 @default.
- W4328011281 cites W3177505580 @default.
- W4328011281 cites W3181186176 @default.
- W4328011281 cites W3190024676 @default.
- W4328011281 doi "https://doi.org/10.1109/iccc56324.2022.10065939" @default.
- W4328011281 hasPublicationYear "2022" @default.
- W4328011281 type Work @default.
- W4328011281 citedByCount "0" @default.
- W4328011281 crossrefType "proceedings-article" @default.
- W4328011281 hasAuthorship W4328011281A5000944309 @default.
- W4328011281 hasAuthorship W4328011281A5027496772 @default.
- W4328011281 hasAuthorship W4328011281A5069255958 @default.
- W4328011281 hasConcept C11171543 @default.
- W4328011281 hasConcept C111919701 @default.
- W4328011281 hasConcept C114614502 @default.
- W4328011281 hasConcept C115961682 @default.
- W4328011281 hasConcept C154945302 @default.
- W4328011281 hasConcept C15744967 @default.
- W4328011281 hasConcept C164226766 @default.
- W4328011281 hasConcept C184337299 @default.
- W4328011281 hasConcept C199360897 @default.
- W4328011281 hasConcept C204321447 @default.
- W4328011281 hasConcept C2524010 @default.
- W4328011281 hasConcept C2778112365 @default.
- W4328011281 hasConcept C2780861071 @default.
- W4328011281 hasConcept C2781051154 @default.
- W4328011281 hasConcept C2781140086 @default.
- W4328011281 hasConcept C28490314 @default.
- W4328011281 hasConcept C2987247673 @default.
- W4328011281 hasConcept C33923547 @default.
- W4328011281 hasConcept C41008148 @default.
- W4328011281 hasConcept C54355233 @default.
- W4328011281 hasConcept C86803240 @default.
- W4328011281 hasConcept C98045186 @default.
- W4328011281 hasConceptScore W4328011281C11171543 @default.
- W4328011281 hasConceptScore W4328011281C111919701 @default.
- W4328011281 hasConceptScore W4328011281C114614502 @default.
- W4328011281 hasConceptScore W4328011281C115961682 @default.
- W4328011281 hasConceptScore W4328011281C154945302 @default.
- W4328011281 hasConceptScore W4328011281C15744967 @default.
- W4328011281 hasConceptScore W4328011281C164226766 @default.
- W4328011281 hasConceptScore W4328011281C184337299 @default.
- W4328011281 hasConceptScore W4328011281C199360897 @default.
- W4328011281 hasConceptScore W4328011281C204321447 @default.
- W4328011281 hasConceptScore W4328011281C2524010 @default.
- W4328011281 hasConceptScore W4328011281C2778112365 @default.
- W4328011281 hasConceptScore W4328011281C2780861071 @default.
- W4328011281 hasConceptScore W4328011281C2781051154 @default.
- W4328011281 hasConceptScore W4328011281C2781140086 @default.
- W4328011281 hasConceptScore W4328011281C28490314 @default.
- W4328011281 hasConceptScore W4328011281C2987247673 @default.
- W4328011281 hasConceptScore W4328011281C33923547 @default.
- W4328011281 hasConceptScore W4328011281C41008148 @default.
- W4328011281 hasConceptScore W4328011281C54355233 @default.
- W4328011281 hasConceptScore W4328011281C86803240 @default.
- W4328011281 hasConceptScore W4328011281C98045186 @default.
- W4328011281 hasLocation W43280112811 @default.
- W4328011281 hasOpenAccess W4328011281 @default.
- W4328011281 hasPrimaryLocation W43280112811 @default.
- W4328011281 hasRelatedWork W1541271503 @default.
- W4328011281 hasRelatedWork W1963674082 @default.
- W4328011281 hasRelatedWork W1969308216 @default.
- W4328011281 hasRelatedWork W2019650513 @default.
- W4328011281 hasRelatedWork W2128594348 @default.
- W4328011281 hasRelatedWork W2370056875 @default.
- W4328011281 hasRelatedWork W2374381306 @default.
- W4328011281 hasRelatedWork W2380258347 @default.
- W4328011281 hasRelatedWork W2960145634 @default.
- W4328011281 hasRelatedWork W3107474891 @default.
- W4328011281 isParatext "false" @default.
- W4328011281 isRetracted "false" @default.
- W4328011281 workType "article" @default.