Classifying MathML Expressions by Multilayer Perceptron
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- NAGAO Yuma
- Graduate School of Library, Information and Media Studies, University of Tsukuba
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- SUZUKI Nobutaka
- Faculty of Library, Information and Media Science, University of Tsukuba
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説明
<p>MathML is a standard markup language for describing math expressions. MathML consists of two sets of elements: Presentation Markup and Content Markup. The former is widely used to display math expressions in Web pages, while the latter is more suited to the calculation of math expressions. In this letter, we focus on the former and consider classifying Presentation MathML expressions. Identifying the classes of given Presentation MathML expressions is helpful for several applications, e.g., Presentation to Content MathML conversion, text-to-speech, and so on. We propose a method for classifying Presentation MathML expressions by using multilayer perceptron. Experimental results show that our method classifies MathML expressions with high accuracy.</p>
収録刊行物
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- IEICE Transactions on Information and Systems
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IEICE Transactions on Information and Systems E101.D (7), 1954-1958, 2018-07-01
一般社団法人 電子情報通信学会
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詳細情報 詳細情報について
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- CRID
- 1390001288039576960
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- NII論文ID
- 130007386891
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- NII書誌ID
- AA10826272
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- ISSN
- 17451361
- 09168532
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- HANDLE
- 2241/00155504
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- IRDB
- Crossref
- CiNii Articles
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可