AI that actually
speaks Maltese
Speech-to-text, text-to-speech, and generative AI trained specifically for Maltese: its grammar, its dialects, and the Maltese-English switching people actually speak in. Not a generic model with a Maltese setting bolted on.
- Trained on real Maltese speech, not a multilingual afterthought
- Handles Maltese-English code-switching automatically
- Already running in 8+ production deployments across Malta
Irrid nibbukkja appointment għal għada.
I want to book an appointment for tomorrow.
Irrid nibbukkja appointment għal għada.. I want to book an appointment for tomorrow.
Why generic AI falls short
To most AI models, Maltese barely exists
Maltese is an official EU language spoken by roughly half a million people. It's also the only language that fuses Semitic root-and-pattern grammar with a Romance and English vocabulary. Large models train on whatever the internet gives them, and Maltese is a rounding error in that mix. Scaling up a generic model doesn't produce fluent Maltese, it produces a confident-sounding guess.
of Common Crawl, the web-scale data most LLMs learn from
inflected forms a single Maltese verb root can take
language families fused into one grammar: Semitic and Romance
speakers relying on an EU official language AI keeps overlooking
What it does
Four capabilities, one language done properly
Maltese speech-to-text
Fine-tuned on hundreds of hours of Maltese audio, from parliamentary sessions and news broadcasts to everyday conversation, so it holds up against accents, regional dialects, and the Maltese-English code-switching that's normal in real speech.
Maltese text-to-speech
Clear, natural speech generated from written Maltese, including the diacritics and intonation generic TTS engines routinely mangle. Built for government IVR lines, accessibility tools, and education platforms that need to be understood, not just heard.
Generative AI in Maltese
Chatbots and written content that read like a fluent Maltese speaker wrote them, not a translation. The models understand the language's hybrid grammar well enough to stay grammatically sound whether the register is formal, legal, or conversational.
Bilingual code-switching
Maltese speakers move between Maltese and English mid-sentence without thinking about it. NeuroMaltese processes that mixing directly, instead of forcing users to pick one language and stick to it.
Not starting from zero
Built on real Maltese language research
NeuroMaltese isn't a demo bolted onto a foundation model. It's fine-tuned on corpora and models that Maltese NLP researchers at the University of Malta have spent over a decade assembling. This is the first time that work has been turned into a product.
Korpus Malti
250M-token reference corpus of written Maltese
MASRI
Annotated Maltese speech corpora for ASR training
BERTu / mBERTu
Maltese-pretrained language models
Ġabra
Open lexical resource for Maltese morphology
Where it's used
Built for the places English-first AI fails
A few examples of where Maltese-specific AI isn't a nice-to-have: it's the only version of the product that actually works. The full list, with more detail, is on the use cases page.
Courts & legal documents
Maltese is constitutionally the language of the courts, and the Maltese text of a law takes precedence over the English version. Legal and compliance work in Malta can't safely run on an English-first model.
Government digital services
Public bodies are expected to serve every citizen bilingually. A chatbot or IVR system that only really works in English excludes the people who need the service most.
Accessibility & education
Natural Maltese text-to-speech for students, low-literacy readers, and elderly or visually impaired users. University of Malta research on digital exclusion keeps flagging this group as underserved.
Questions
Before you ask
How is this different from Google Translate or a generic multilingual chatbot? +
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.
Does it handle Gozitan and other regional dialects? +
Yes. The underlying speech models are trained on audio from across Malta and Gozo, so regional pronunciation and dialectal variation are part of the training data, not an edge case handled after the fact.
Can it work alongside our existing systems? +
Yes. NeuroMaltese is available as a managed API for speech-to-text, text-to-speech, and text generation, and it integrates with other NeuroStack products, like NeuroDocument for OCR and NeuroRAG for retrieval, when a project needs more than language processing alone.
Bring genuine Maltese into your product
If you're weighing whether to bolt Maltese onto a generic model or do it properly, we're happy to talk through what your use case actually needs.