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AUTOMATIC DETECTION AND TRANSLATION OF TEXT FROM NATURAL SCENES
Die Yang, Jilin Chen, Jing Zhang, King Zhang, Alex Wiesel
Interactive Systems Laboratory
Carnegie Mellon University
Pittsburgh, PA 15213
ABSTRACT
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To fill out automatic detection and translation, follow these steps:
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Open the automatic detection and translation tool.
03
Choose the source language you want to detect and translate from.
04
Select the target language you want to translate to.
05
Provide the text or document that you want to translate.
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Click on the 'Detect' button to automatically identify the source language.
07
Once the source language is detected, click on the 'Translate' button to generate the translation.
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Review the translated text or document and make any necessary edits or corrections.
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Save or export the translated version for further use.
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What is automatic detection and translation?
Automatic detection and translation is the process of identifying and translating text or speech from one language to another using computer algorithms and artificial intelligence.
Who is required to file automatic detection and translation?
Anyone who wants to automatically detect and translate text or speech in different languages may be required to file automatic detection and translation.
How to fill out automatic detection and translation?
Automatic detection and translation can be filled out using software or platforms that offer these services, by inputting the text or speech to be translated and selecting the desired languages.
What is the purpose of automatic detection and translation?
The purpose of automatic detection and translation is to facilitate communication and understanding between individuals who speak different languages, by quickly and accurately translating text or speech.
What information must be reported on automatic detection and translation?
The information that must be reported on automatic detection and translation includes the original text or speech, the translated text or speech, the languages involved, and any relevant context or notes.
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