@techreport{oai:ipsj.ixsq.nii.ac.jp:02000213,
 author = {加藤,隆宏 and 友成,有紀 and 渡邊,眞儀 and 天野,恭子 and 岩﨑,陽一 and 栗原,洸太 and Yalcin,Akin and 藤巻,聡 and 大澤,留次郎 and Takahiro Kato and Yūki Tomonari and Masayoshi Watanabe and Kyoko Amano and Yoichi Iwasaki and Kota Kurihara and Yalcin Akin and Satoshi Fujimaki and Tomejiro Osawa},
 issue = {7},
 month = {Feb},
 note = {このパンフレットは，情報処理学会論文誌（以後，論文誌と呼ぶ）に投稿する投稿用原稿，並びに掲載が決定した論文の製版用原稿，Wordを用いて作成し提出するためのガイドである．このパンフレットでは，論文作成のためのWordテンプレートファイル（.dot）について解説している．また，このパンフレット自体も論文と同じ方法で作成されているので，必要に応じて雛形として参照されたい．, In recent philological research, the utilization of searchable text data has become an indispensable methodology. Particularly in the field of Sanskrit philology, the significance of examining stylistic, grammatical, and lexical features of related documents as part of textual criticism has long been recognized. The use of searchable text databases has greatly enhanced methods of criticism. However, existing databases rely on manual data entry by researchers, resulting in quantitative limitations. To address this issue, the project “Devanagari OCR and Sanskrit E-Text Archive” was undertaken from 2020 to 2021. This research involved collaboration between scholars with expertise in Sanskrit philology and OCR technology developers. The team worked on developing AI-powered OCR to automate text data collection and improve OCR accuracy. This presentation is based on the outcomes of the aforementioned project and will disclose some of the results of the ongoing project launched in 2023, titled “Applied research towards practical use of Devanagari OCR and utilization of text database”.},
 title = {デーヴァナーガリー写本OCRの開発―展望と課題},
 year = {2025}
}