The importance of dialects and language nuances in immersive role-plays

In a role-play, anything that feels unintentionally off can break the immersion and work against the learner. The realism doesn’t have to be at 100 percent. What matters is that the scenario keeps to its own established rules.

If a role-play is set in a specific region, or the learner is talking to someone with a specific background, a character who speaks in a way that doesn’t fit will pull the learner straight out of the scene. Weaker immersion means less attention on the training scenario, and a lower learning outcome.

This has become far more noticeable as AI generated speech has become more natural-sounding. When every synthetic voice sounded like a machine, a mismatched dialect was just one more thing that didn’t sound quite right. Now that voices sound like people, the details stand out. Getting them right gives an immediate feeling of familiarity, and signals a role-play built for this training scenario and the people taking it, rather than generalised content that has been translated.

When the language doesn’t match the scenario

The mismatches are usually easy to spot once you know to look for them:

• A role-play for a Portuguese company where the customer character speaks Brazilian Portuguese for no apparent reason.
• An Austrian company where everyone sounds like they’re from northern Germany.
• A Norwegian role-play where a character has a Norwegian accent but uses Danish word choices.

None of these are catastrophic on their own. They simply remind the learner that they’re talking to a piece of software, which is the one thing an immersive role-play can’t afford.

Dialect is more than accent

Regional variation goes well beyond accent and tonality. Expressions, word choices and even grammar can differ significantly, and the gap between written and spoken forms of a language differs from region to region too.

That means dialect support has to run through the whole LLM stack. It isn’t something you can solve as an accent in the text-to-speech model, because the words themselves have to be right before they are ever spoken. A character with a convincing regional voice who uses vocabulary from the wrong side of the border is arguably more jarring than a neutral one, because the voice sets an expectation that the script then breaks.

Why a native speaker has to sign off

Every dialect or accent has to be tested and approved by a native speaker. Without that, quality control is guesswork, because the people building the scenario usually can’t hear what’s wrong.

A half-finished dialect is worse than no dialect at all. If a variant can’t be done properly, a neutral version of the base language is the safer choice. It makes no promises it can’t keep, and learners accept it as a convention of the format.

How Apprendly handles local variation

Apprendly’s Speak naturally™ system has built-in support for local variations and dialects. We can’t cover every dialect in the world out of the box, so we work with partners and clients to add support based on demand. The engine applies custom local adjustments on top of any base language, which means a new variant doesn’t require a new language from scratch, only the work of getting that variant right.

Because the adjustments sit in the language engine rather than in the voice, they carry through everything the character says: how it greets the learner, which words it reaches for under pressure, and how it phrases an objection.

Flemish in practice

One example is our support for Flemish, a Belgian variant of Dutch. We built it together with Fluvius and Flanders Make as a separate option from regular Dutch-speaking characters, rather than as a setting layered on top of them.

David Sandland Bråthen, product expert at Apprendly, explains:

“Through our own research and from talking with the clients, we found lots of necessary adjustments for the Flemish speech, from nuanced word choices, smaller grammar differences and differences between written and spoken language. Thanks to having our own language engine, we could go from ‘Dutch-speaking characters with Flemish accents’ to actually Flemish-speaking ones.”