# Deepgram Expands Nova-3 with 10 New Languages and Multilingual Keyterm Prompting - URL: https://deepgram.com/learn/deepgram-expands-nova-3-with-10-new-languages-and-multilingual-keyterm-prompting - Published: December 8, 2025 - Updated: October 12, 2026 - Author: Hasan Jilani, Sr. Director of Product Marketing - Categories: Announcements - Read time: 7 min Deepgram is expanding Nova-3 with support for 10 new monolingual languages and a major upgrade to Nova-3 Multilingual. This release further solidifies Nova-3 as a leading enterprise ASR model, offering high accuracy, adaptability, and precise performance across diverse languages and speech patterns. Deepgram continues to expand the reach of Nova-3 with support for 10 additional monolingual languages and a major update to Nova-3 Multilingual. This release strengthens Nova-3’s position as one of the most advanced enterprise ASR models available today, delivering accuracy, adaptability, and linguistic precision across diverse language families, scripts, and speech behaviors. ## **Built for Global Speech Diversity** This update brings Nova-3 into regions that challenge traditional ASR systems: languages with tonal variation, morphological complexity, and multi-script writing systems. Nova-3 handles these differences natively, preserving low latency and enterprise-grade accuracy across both batch and streaming modes. Nova-3 now supports 10 new monolingual languages across Southern Europe, the Baltics, and Southeast Asia, along with a major upgrade to multilingual accuracy through Keyterm Prompting. ## **10 New Languages Now Live in Nova-3** Earlier Nova-3 expansions focused on widely spoken European and Asian languages. This update represents the next phase, expanding into languages with distinct phonetic structures, scripts, and grammatical systems. ### **Southern and Eastern Europe** **Greek (el)**Characterized by inflectional morphology and variable word stress. Nova-3 improves modeling of vowel alternations and compound forms. **Romanian (ro)**A Romance language with Slavic influence and strong case inflection. Nova-3 delivers better handling of endings, stress patterns, and mid-word vowel shifts. **Slovak (sk)**Complex consonant clusters and rich case systems make Slovak challenging for general ASR. Nova-3 improves recognition of grammatical gender and declension patterns. **Catalan (ca)**A hybrid between Spanish and French with vowel reduction and multiple dialects. Nova-3 strengthens recognition in conversational and broadcast speech. ### **Northern and Baltic Europe** **Lithuanian (lt)**A Baltic language with free stress and pitch accent. Nova-3 improves accuracy for rich morphology and long compounds. **Latvian (lv)**Features vowel length contrast and consonant palatalization. Nova-3 increases clarity and keyword recall at varied speaking speeds. **Estonian (et)**Combines vowel harmony with a three-length quantity system. Nova-3 improves segmentation and prosodic modeling in real-time scenarios. **Flemish (nl-BE)**The Belgian variant of Dutch with regional phonetic shifts. Nova-3 enhances accuracy for colloquial and broadcast environments. **Swiss German (de-CH)**A regional variant with extensive dialectal diversity. Nova-3 adapts more effectively to high-variance speech patterns. ### **Southeast Asia** **Malay (ms)**Combines Austronesian roots with English and Arabic loanwords. Nova-3 improves accuracy in multilingual settings and conversational audio. ## **Benchmarking: Accuracy Gains Across Languages** Nova-3 continues to deliver measurable accuracy improvements over Nova-2, reducing Word Error Rate (WER) across both batch and streaming transcription. These gains hold across languages that vary widely in morphology, phonetics, and script complexity. A clear trend continues to emerge: streaming transcription often achieves the strongest relative WER reductions, reinforcing Nova-3’s suitability for real-time applications such as voice agents, live captioning, and AI telephony systems. ### **Word Error Rate (WER) – Relative Improvement (10 New Nova-3 Languages)** ![](https://cdn.sanity.io/images/10fppwnn/production/fb51a651f9e86ffe5badc14edd6b692546a8d911-1535x948.png) ### Key Highlights - All ten languages show accuracy gains in either batch or streaming modes, with many improving in both. - Malay, Romanian, and Slovak show some of the largest relative WER reductions, with improvements exceeding 20 percent in several cases. - Streaming models outperform batch in roughly half of the languages, supporting Nova-3’s strength in conversational and low-latency workflows. - Languages with complex morphology or less-standardized orthography such as Lithuanian, Latvian, and Slovak show robust gains, indicating improved handling of case systems, inflection, and compound formation. - Swiss German and Flemish deliver strong improvements despite dialectal variation, demonstrating Nova-3’s adaptability across regional speech patterns. ## **New: Multilingual Keyterm Prompting** Nova-3 Multilingual now supports Multilingual Keyterm Prompting, allowing developers to pass up to 500 tokens (about 100 words) to improve recognition of brand names, technical terminology, and domain-specific vocabulary across multilingual audio. Nova-3 can now prioritize these terms across all supported languages in a single request. This is especially valuable for global enterprises in finance, healthcare, retail, and customer support. No retraining is required. Nova-3 adapts instantly when you provide a list of key terms. ## **Why It Matters** Nova-3 continues to evolve as a unified speech recognition foundation for global products and workflows. Instead of applying one pattern to every language, Nova-3 adapts to each language’s structure whether it involves tones, inflections, or non-Latin alphabets. For developers and enterprise teams, this means: - Consistent performance across diverse global markets - Improved recognition in both conversational and formal speech - Lower latency and fewer transcription errors in multilingual environments - Flexible customization with Keyterm Prompting for domain-specific accuracy ## **Getting Started** Switching to any of the newly supported languages is simple. Update your API request with the appropriate language code: ```bash curl --request POST \ --header "Authorization: Token YOUR_DEEPGRAM_API_KEY" \ --header "Content-Type: audio/wav" \ --data-binary @youraudio.wav \ "https://api.deepgram.com/v1/listen?model=nova-3&language=el" ``` Supported language codes: ```text el, lt, lv, ms, sk, ca, et, nl-BE, de-CH, ro ``` To use multilingual Keyterm Prompting, pass your list of key terms through the keyterms parameter in your Nova-3 Multilingual request. ## **Looking Ahead** With 10 new languages and multilingual Keyterm Prompting now live, Nova-3 continues its progress toward full global coverage. Accuracy, adaptability, and real-time reliability continue to improve across language families, scripts, and acoustic environments. The goal is clear: voice AI that works everywhere, for everyone. Accurate in fast speech, resilient in noisy environments, and adaptable to local dialects and cultural context. ## Unlock Enterprise-Grade Voice AI Today Sign up free and unlock **$200 in credits**, enough to power over 750 hours of transcription or 200 hours of speech-to-text across Nova-3’s growing language suite. Explore details on our [Models & Languages Overview page](https://developers.deepgram.com/docs/models-languages-overview) and experience Nova-3’s world-class adaptability for yourself. ## Unlock voice AI at scale with an API Call Get conversational intelligence with transcription and understanding on the world's best speech AI platform. - [Sign Up Free](https://console.deepgram.com/signup) - [Get A Demo](https://deepgram.com/contact-us)