Frequently Asked Questions

Measured by word error rate (WER), the standard metric for transcription accuracy, it reaches rates comparable to commercial English transcription systems, a meaningful result for a language with as little training data as Maltese has. It significantly outperforms generic multilingual transcription on Maltese audio, particularly on code-switched Maltese-English speech, where generic models tend to default to one language and misread the other. See the full benchmark detail.

Generic tools spread their training data across a hundred-plus languages, and Maltese gets a sliver of that. NeuroMaltese is trained and evaluated specifically on Maltese, which is why it holds up on dialect, code-switching, and domain-specific terms that trip up broad multilingual models. See the full comparison.

Yes, in both directions. It handles documents, chatbot responses, and real-time conversation while keeping domain-specific terminology intact, which matters most in legal, government, and financial content. See the full translation & document page.

Yes. Combined with NeuroDocument for OCR, it processes Maltese-language documents, including entity extraction, classification, and summarisation, which matters for Malta's bilingual government and legal work.

Yes. It's available as a managed API for speech-to-text, text-to-speech, translation, and text generation, and it integrates with other NeuroStack products for end-to-end Maltese language workflows.

Yes. NeuroMaltese is designed to slot into an existing product or workflow rather than replace it, whether that means a call centre platform, a government portal, or an internal document pipeline.

Yes, that's chatbot.mt, a self-serve chatbot builder from Neural AI. NeuroMaltese itself is the underlying language API for teams building their own product on top of it, rather than a packaged chatbot.