Technical realization of cross-language business scenarios
The system adopts a three-layer language processing architecture: the front-end speech recognition supports mixed input of 8 languages (including Chinese Mandarin/Cantonese), the middle-layer semantic understanding module is based on the XLM-RoBERTa model, and the back-end output can be selected to keep the original language or convert it to the user's preset language. In the application of a semiconductor enterprise, the translation demand of 37% was successfully reduced.
- Cultural Adaptation: Recognize the differences in business practices in different regions, e.g., the meaning of silence in conversations with Japanese customers.
- Thesaurus: support for uploading industry-specific glossaries, e.g. Latin terms in the legal field
- Latency control: analyze response time in bilingual scenarios and still stay within 1.2 seconds
This feature has been certified by ISO 18587 for translation services with an accuracy rate of 92.31 TP3T.
This answer comes from the articleCluely: the AI tool that delivers meetings and sales assistance in real timeThe
May not be reproduced without permission:AI productivity tools " Cluely's Multilingual Support Creates Synergy Value for Multinational Teams
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