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Use case

Multilingual

Create high-quality, multilingual datasets to train your AI models to understand and serve users across diverse languages and cultures

Multilingual

Create quality multilingual data
Create quality multilingual data

Generate high-quality data from skilled labelers who can capture linguistic and cultural nuances across all major languages.

Evaluate and align multilingual models
Evaluate and align multilingual models

Assess model performance on multilingual responses to capture feedback on language-specific strengths and weaknesses.

Access on-demand expertise
Access on-demand expertise

Easily harness highly-skilled labeling services, linguistic support, and industry-specific insights available on-demand.

Collaborate in real-time
Collaborate in real-time

Enjoy direct access to internal and external labelers with real-time feedback on labels and quality via Labelbox platform.

Break down language barriers in AI models
Overview

Break down language barriers in AI models

Multilingual AI models help today's globalized world break down language barriers and communicate seamlessly across cultures. From customer support to machine translation, information retrieval to language learning, these models can help revolutionize how we interact in the face of language barriers.

Overcome the challenges of multilingual AI
Challenges

Overcome the challenges of multilingual AI

Every language consists of diverse dialects, slang, and technical jargon—all adding to the complex nature of accurate translation and understanding. This, coupled with the constant evolution of languages that requires models to be continuously updated to incorporate emerging neologisms, presents a major obstacle in multilingual AI development.

Generate high-quality, multilingual datasets
Solution

Generate high-quality, multilingual datasets

Labelbox’s advanced tools, coupled with our global network of native annotators, enable you to create data that captures the nuances of diverse languages and cultures, leading to multilingual models that truly understand and respond to the needs of users, regardless of their language.