
?Build custom language knowledge bases
?Clean and align a professional parallel corpus
?Collect and generate targeted data

?Develop industry-specific language models
?Fine-tune parameters using algorithms
?Enable intelligent translation and content generation

?Address industry-specific language challenges
?Enhance internal and external workflows
?Tailor solutions to business scenarios

?Build a four-dimensional evaluation system
?Optimize models for targeted business scenarios
?Validate performance using test sets
?Establish MLOps for algorithm learning
In today’s era of globalization and regional economic integration, cross-language communication has evolved from a simple "auxiliary tool" to a "strategic necessity" for companies with global ambitions. Multinational enterprises face growing challenges, particularly in high-frequency scenarios like business negotiations, technical collaboration, and market research, where generic translation models often fall short. Issues like "inaccurate translations" and "mistranslation of technical terms" in less commonly used (minority) languages can derail critical operations. Addressing these specific issues is key to achieving successful global management.

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AddressRoom 1015, Xunlei Building, 3709 Baishi Road, High-Tech Industrial Park, Nanshan District, Shenzhen