Matches in SemOpenAlex for { <https://semopenalex.org/work/W4200147907> ?p ?o ?g. }
Showing items 1 to 68 of
68
with 100 items per page.
- W4200147907 abstract "As one of the most culturally rich countries globally, Japan also has a rich history of magazines. In modern Japanese magazines, which were published during the 19-20th centuries, Japanese usage is similar to the current style of the contemporary Japanese language. However, most of those documents are not digitized but stored as images. Due to their importance to Japanese culture, history, and other socio-scientific topics, the problem of using computers to help identify these image-based modern magazines has been investigated from research and widely disseminated through the use of different methods in Deep Learning. However, these methods are still limited to achieve strong performance in recognizing handwriting images, especially uncommon Kanji characters. In this research, we address this problem by developing a deep learning-based language model and integrating it into the current OCR system for modern Japanese magazine documents. We also propose a combination strategy between the current Japanese OCR tool and our language model. The strategy will learn where the system should rely on OCR (e.g., Hiragana and Common kanji characters recognized correctly by OCR) or language model (uncommon Kanji characters are frequently recognized incorrectly by OCR, the system should rely on the language model). Our method enjoys visible improvement once experimented with real data." @default.
- W4200147907 created "2021-12-31" @default.
- W4200147907 creator A5020382119 @default.
- W4200147907 creator A5056767671 @default.
- W4200147907 creator A5058292518 @default.
- W4200147907 creator A5089725610 @default.
- W4200147907 date "2021-11-10" @default.
- W4200147907 modified "2023-09-27" @default.
- W4200147907 title "Recognizing modern Japanese magazines by combining Deep Learning with language models" @default.
- W4200147907 doi "https://doi.org/10.1109/kse53942.2021.9648643" @default.
- W4200147907 hasPublicationYear "2021" @default.
- W4200147907 type Work @default.
- W4200147907 citedByCount "0" @default.
- W4200147907 crossrefType "proceedings-article" @default.
- W4200147907 hasAuthorship W4200147907A5020382119 @default.
- W4200147907 hasAuthorship W4200147907A5056767671 @default.
- W4200147907 hasAuthorship W4200147907A5058292518 @default.
- W4200147907 hasAuthorship W4200147907A5089725610 @default.
- W4200147907 hasConcept C108583219 @default.
- W4200147907 hasConcept C112640561 @default.
- W4200147907 hasConcept C137293760 @default.
- W4200147907 hasConcept C138885662 @default.
- W4200147907 hasConcept C154945302 @default.
- W4200147907 hasConcept C166957645 @default.
- W4200147907 hasConcept C204321447 @default.
- W4200147907 hasConcept C2776445246 @default.
- W4200147907 hasConcept C2779386606 @default.
- W4200147907 hasConcept C2781051154 @default.
- W4200147907 hasConcept C2988323515 @default.
- W4200147907 hasConcept C41008148 @default.
- W4200147907 hasConcept C41895202 @default.
- W4200147907 hasConcept C52622490 @default.
- W4200147907 hasConcept C78148190 @default.
- W4200147907 hasConcept C83535845 @default.
- W4200147907 hasConcept C95457728 @default.
- W4200147907 hasConceptScore W4200147907C108583219 @default.
- W4200147907 hasConceptScore W4200147907C112640561 @default.
- W4200147907 hasConceptScore W4200147907C137293760 @default.
- W4200147907 hasConceptScore W4200147907C138885662 @default.
- W4200147907 hasConceptScore W4200147907C154945302 @default.
- W4200147907 hasConceptScore W4200147907C166957645 @default.
- W4200147907 hasConceptScore W4200147907C204321447 @default.
- W4200147907 hasConceptScore W4200147907C2776445246 @default.
- W4200147907 hasConceptScore W4200147907C2779386606 @default.
- W4200147907 hasConceptScore W4200147907C2781051154 @default.
- W4200147907 hasConceptScore W4200147907C2988323515 @default.
- W4200147907 hasConceptScore W4200147907C41008148 @default.
- W4200147907 hasConceptScore W4200147907C41895202 @default.
- W4200147907 hasConceptScore W4200147907C52622490 @default.
- W4200147907 hasConceptScore W4200147907C78148190 @default.
- W4200147907 hasConceptScore W4200147907C83535845 @default.
- W4200147907 hasConceptScore W4200147907C95457728 @default.
- W4200147907 hasLocation W42001479071 @default.
- W4200147907 hasOpenAccess W4200147907 @default.
- W4200147907 hasPrimaryLocation W42001479071 @default.
- W4200147907 hasRelatedWork W1490424570 @default.
- W4200147907 hasRelatedWork W1522643264 @default.
- W4200147907 hasRelatedWork W1570262701 @default.
- W4200147907 hasRelatedWork W1570547821 @default.
- W4200147907 hasRelatedWork W1936898694 @default.
- W4200147907 hasRelatedWork W2018862953 @default.
- W4200147907 hasRelatedWork W3107474891 @default.
- W4200147907 hasRelatedWork W4200147907 @default.
- W4200147907 hasRelatedWork W65990817 @default.
- W4200147907 hasRelatedWork W2138756915 @default.
- W4200147907 isParatext "false" @default.
- W4200147907 isRetracted "false" @default.
- W4200147907 workType "article" @default.