No term available
The DVD-VR standard defines a logical format for video recording on DVD-R, DVD-RW, and DVD-RAM style media, including the dual layer versions of these media.
DVD-VR · DVD Video Recording Format · VRO
The DVD-VR standard defines a logical format for video recording on DVD-R, DVD-RW, and DVD-RAM style media, including the dual layer versions of these media.
Video Recording Object file · .VRO · VRO
No term available
The DVD-VR standard defines a logical format for video recording on DVD-R, DVD-RW, and DVD-RAM style media, including the dual layer versions of these media.
No term available
The DVD-VR standard defines a logical format for video recording on DVD-R, DVD-RW, and DVD-RAM style media, including the dual layer versions of these media.
No term available
The DVD-VR standard defines a logical format for video recording on DVD-R, DVD-RW, and DVD-RAM style media, including the dual layer versions of these media.
No term available
The DVD-VR standard defines a logical format for video recording on DVD-R, DVD-RW, and DVD-RAM style media, including the dual layer versions of these media.
No term available
The DVD-VR standard defines a logical format for video recording on DVD-R, DVD-RW, and DVD-RAM style media, including the dual layer versions of these media.
DVD-VR · VRフォーマット · VRモード
DVD-VR（DVD Video Recording Format、DVDビデオレコーディング規格）とはDVD-R、DVD-RW、DVD-RAMなどの書き込み型DVD専用のアプリケーションフォーマットの一つである。
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BabelNet
BabelNet has received funding from the European Research Council (ERC) under grant agreement No. 259234. Concept and design by Roberto Navigli.
BabelNet and its API are licensed under a Creative Commons Attribution-Non Commercial-Share Alike 3.0 License. BabelNet is now a self-sustained project with Babelscape as its commercial support arm, thanks to which the project will be continued and improved over time.
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BabelNet won the Prominent Paper Award 2017 from Artificial Intelligence, the most prestigious journal in the field of AI. This year the award selected the best article published in 2009-2016. The paper, authored by Roberto Navigli and Simone Paolo Ponzetto, presents the algorithmic techniques for creating and evaluating the BabelNet multilingual semantic network. Reference paper.
BabelNet covers 284 languages from all continents, including:
- Afrikaans
- Arabic
- Chinese
- English
- French
- German
- Greek
- Hebrew
- Hindi
- Italian
- Japanese
- Korean
- Portuguese
- Punjabi
- Russian
- Spanish
- Swedish
- Tagalog
- Turkish
- and more...
BabelNet covers 34 domains. E.g. education includes:
