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+# Multilingual Code-Switching Support in Deepgram
+
+Deepgram is continuously expanding its capabilities to support multilingual code-switching, a feature that is particularly valuable for users dealing with audio containing more than one language. This functionality is highly anticipated, especially for languages like French, which have a high priority in Deepgram’s development plans.
+
+## What is Code-Switching?
+Code-switching occurs when a speaker alternates between two or more languages within a conversation or even a single sentence. Supporting this in speech-to-text technologies like Deepgram allows for more accurate transcription of multilingual audio.
+
+## Current Capabilities
+Deepgram currently supports various language models for transcription and is working towards improving its multilingual support. While French is a priority, a definitive timeline for the rollout is not yet available. However, users can expect enhancements in this area over the coming year.
+
+## What to Expect
+As Deepgram's AI models evolve, users can anticipate:
+
+- **Improved Transcription Accuracy:** Enhanced recognition of multilingual speech patterns without manual intervention.
+- **Broader Language Support:** Expansion of supported languages, increasing the usefulness of Deepgram's API across diverse linguistic markets.
+- **Seamless Code-Switching:** An ability to transcribe audio that dynamically switches between languages like English and French.
+
+If issues persist or the system behavior seems inconsistent, reach out to your Deepgram support representative (if you have one) or visit our community for assistance: [Deepgram Community on Discord](https://discord.gg/deepgram).
+
+## References
+- [Deepgram API](https://developers.deepgram.com/docs)
+- [Deepgram Community](https://community.deepgram.com)
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