XSPAN API Search Results & Alternatives
Topics Extraction tags locations, people, companies, dates and many other elements appearing in a text written in Spanish, English, French, Italian, Portuguese or Catalan. This detection process is carried out by combining a number of complex natural language processing techniques that allow to obtain morphological, syntactic and semantic analyses of a text and use them to identify different types of significant elements.
Easily translate text between Arabic, Chinese (Simplified), Chinese (Traditional), Czech, English, French, German, Italian, Japanese, Portuguese, Russian, Spanish, and Turkish. Source Language is optional now. Target Language can use full language or 2-3 character code (NOT case-sensitive). Arabic (ar), Chinese -Simplified (zh), Chinese -Traditional (zht OR chinesetraditional), Czech (cs), English (en), French (fr), German (de), Italian (it), Japanese (ja), Portuguese (pt), Russian (ru), Spanish (es), Turkish (tr)
The spoken language identifier is a service that tries to determine the language spoken in an audio recording. The model currently supports 8 languages: English, Spanish, Italian, French, German, Portuguese, Dutch, and Russian. You can use it to classify recordings as short as 1 second and as long as a minute. Note that the longer the recording, the higher the accuracy of the prediction. For 20 second recordings the accuracy is about 95%, whereas for 5 second samples it is just over 80%. Supported audio formats: WAV, FLAC, OGG.
Related APIs in Category: Science
Our real-time API provides science-backed high accuracy detection of sensitive images (pornography, nudity, sexuality, violence). We are constantly improving our API. Keywords: adult, porn, moderation, image validation, explicit, detection, NSFW. Any questions: [email protected]
NOTE: You need an API-Key to use this API. See README for more details. The Cancer Imaging Archive (TCIA) is a public repository of cancer images and related clinical data for the express purpose of enabling open science research. Currently over 26 million radiologic images of cancer are contained in this repository. The API allows you to query metadata and download images from the various public collections available on TCIA
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The overall objective of XSPAN is to support cross-species access to tissue-based genetic information through the development of an internet-based cross-species anatomy network, i.e. a cross-species anatomy ontology integration system. XSPAN is funded by the UK’s Biotechnology and Biological Sciences Research Council (BBSRC) Researchers at Heriot-Watt University and the University of Edinburgh have been collaborating on projects relating to an on-line anatomy and genomic databases for a number of years. [...] You reach pick what is done to your hair, and also you will reach like the you that you see in the mirror after it is done. [...] Even if you acquire something that is extremely breakable, it will certainly show up securely and you will never have to think of just how to get it to your home safe.