Raiverb 사용

소프트웨어 정보

Key features:

• Translation*, Proofreading*, LQA: Ensure accurate translations with built-in translation, proofreading or LQA. (read below for limitations)
  
• Common Formats Supported: Import content from various formats including .XLSX, .DOCX, .PO, .POT, XML-based (beta), HTML, and PDF (experimental).
  
  
• Leverage Translation Memories and Glossaries: Use your existing Translation Memories (.TMX, .XLIFF) and Glossaries for consistency and/or generate them dynamically within Raiverb. This allows for interoperability with other CAT tools for review and proofreading.
  
• A WYSWIG Editor: Having to review and edit texts full of tags or had to decipher variables? The easy WYSIWYG editor will allow you to see exactly where you are, add or edit new tags, make sure there are no errors, but also include more advanced functionalities, such as sentence splitting. It will even allow you to see your glossary matches! Will also detect the language automatically.
  
  
• TM Converter: Included converter for Translation Memories. No need to use a dedicated software or even no particular knowledge required.
  
• Extensive Customization: Tailor your output by defining character limits, providing contextual information, or referencing previous translations.
  
  
• Image Recognition: Import images (JPG, BMP, PNG), extract text, and auto-detect language.
  
  
• Flexible Export Options: Save your translated content as you need it: in its original format (see list of supported formats in manual), export to a spreadsheet, or integrate with other software.
  
• Archiving and Editing Functionality: Automatically record all translated content for proofreading, confirmation, and reuse.
  
• Industry compatible: Raiverb doesn't lock you in and doesn't force you to keep a credited account to access your data: export your data at any time, compatible with all other software.

AI 생성 콘텐츠 사용 공개

개발사는 게임에서 AI 생성 콘텐츠를 사용하는 방법을 다음과 같이 설명합니다.

Raiverb is a Computer-Assisted Translation tool that organizes translation data from source content, tries to integrate as much context from this data to improve the acuracy of the end result.