The input file size is limited to 100kB.
Translates from->to:
Czech->English, Hindi, French, Russian, German
English->Russsian, German, Czech, Hindi, French
Russian->German, French, Czech, Hindi, English
German->Russian, Hindi, Czech, English, French
French->Russian, German, Czech, English, Hindi
The Art & Architecture Thesaurus ® (AAT), the Getty Thesaurus of Geographic Names ® (TGN), the Union List of Artist Names ® (ULAN), the Cultural Objects Name Authority ® (CONA), and the Iconography Authority ™(IA) are structured resources that can be used to improve access to information for art, architecture, and other material culture. Through rich metadata and links, the Getty Vocabularies provide powerful conduits for knowledge creation, research, and discovery for digital art history and related disciplines.
- Cataloging: The Getty Vocabularies may be used as data value standards at the point of documentation or cataloging. In this context, they may be used as a controlled vocabulary or authority by the cataloger or indexer; they provide preferred names/terms and synonyms for people, places, and things. They also provide structure and classification schemes that can aid in documentation.
- Retrieval: The Getty Vocabularies aid in retrieval and discovery. They may be used as search assistants in database retrieval systems and more broadly in a linked environment. They are knowledge bases that include semantic networks that show links and paths between concepts; these relationships can make retrieval more successful.
- Research tools: They may be utilized as research tools, valuable because of the rich information and contextual knowledge that they contain.
- Linked Open Data (LOD): The Getty Vocabularies are constructed to allow their use in linked data. Releasing the Getty vocabularies as Linked Open Data is part of the Getty's ongoing effort to make our knowledge resources freely available to all. The AAT, TGN, and ULAN are now available as LOD. They are published under the Open Data Commons Attribution License (ODC-By) 1.0.
WebLicht Easy Chain for German Named Entity Recognition (German). The pipeline makes use of WebLicht's TCF converter, the IMS tokenizer, the IMS TreeTagger, and a German Named Entity Recognizer that has been trained based on a maximum entropy approach using the OpenNLP maxent library. WebLicht's Tundra can be used to visualize the result.
WebLicht Easy Chain for Dependency Parsing (English). The pipeline makes use of WebLicht's TCF converter, the Stanford tokenizer, the Jitar POS Tagger, and TurboParser, a multilingual dependency parser based on linear programming relaxations. WebLicht's Tundra can be used to visualize the result.
**Praat** (/prɑːt/; Dutch: [praːt] (listen), "talk") is a speech analysis tool used for doing phonetics by computer. Praat can analyse, synthesize, and manipulate speech, and create high-quality pictures for your publications.
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