The AI That Learned Spanish by Watching Telenovelas — And It’s Surprisingly Good

In a scene from the classic Mexican telenovela María la del Barrio, a character calls the heroine “escuincla babosa” (roughly, spoiled brat) with a theatrical rage that can only be found in daytime drama. It’s the kind of moment that makes seasoned viewers applaud and new viewers laugh. Additionally, it turns out that telenovelas are surprisingly effective training materials for artificial intelligence learning to speak Spanish because they contain precisely the kind of unfiltered, emotionally charged, culturally specific dialogue.

Lorena Mesa, chair of the Python Software Foundation and a data engineer at GitHub, came up with this concept out of genuine curiosity about whether a machine could learn to produce creative writing rather than because it was obvious. She reasoned that the perfect test case would be telenovelas. Plots are predictable. They are archetypal characters. The language is vibrant. “It’s a lot easier to quantify than something like an indie art-house film,” she said. They’re just a lot of fun to watch, she acknowledged.

Mesa created a neural network that was trained on pre-existing telenovela scripts in order to generate fresh, dramatic dialogue in the same register. The underlying idea held up despite the results’ flaws, occasional incoherence, and occasional inadvertent humor. For text generation models, structured, emotionally charged, and conversational content proved to be a truly effective teacher. This begs the more difficult question: can AI truly learn to speak Spanish like humans if it can write like a telenovela?

It appears that the answer is, at least in part, yes. Over the past few years, there has been a proliferation of AI-powered language learning apps, and the better ones are unknowingly taking a cue from the logic of telenovelas. The importance of emotionally charged, contextually grounded, immersive dialogue has long been recognized. For decades, language learners have been familiar with it.

On Reddit, polyglots talk about how they learned regional Colombian expressions from Pasción de Gavilanes that they had never seen in a classroom. A writer on Medium reported that she went months without studying Spanish formally, substituting it only with Spanish-language movies, and that when she got to Spain, she was able to carry on full conversations. It turns out that when vocabulary is connected to something the brain truly cares about, it stores it more consistently.

These days, AI tools are formalizing that intuition. Learners can click through words while hearing them spoken in context on platforms such as Langua, which pair conversation practice with interactive transcripts and video content. Real-time pronunciation feedback is provided by speech recognition. Watch, absorb, repeat, and speak are the steps in the telenovela pipeline that are being redesigned into a product. It remains to be seen if the product embodies what makes the original approach effective. No app interface has quite captured the feeling of sitting with subtitles at midnight, genuinely interested in whether the protagonist will survive her most recent betrayal.

The emotional component may be more significant than the language-learning sector generally recognizes. The fact that viewers don’t watch telenovelas for educational purposes contributes to their success. They watch because they are curious about what will happen next. When attention is diverted to something else, the Spanish appears almost as a side effect. Immersion through entertainment tends to produce fluency that feels more natural and textured than the kind built from grammar drills, which may be explained by the fact that this is a different cognitive state than most structured learning.

“Escuincla babosa!” is the title of Mesa’s project, which suggests that it is more than just an oddball engineering exercise. It implies that because they are so consistent, the patterns found in telenovela scripts—such as the emotional arcs, recurrent phrases, and the significance of particular words in particular situations—can be learned by machines. People have long believed that telenovelas helped people learn languages because they were consistent. A sort of technical confirmation is now available. According to Mesa, the relationships on the screen are reflected in the relationships in the data.

It remains to be seen if AI will ever be able to fully replicate the experience of learning Spanish the old-fashioned way, which involves drama, confusion, and a protagonist yelling across a courtyard. However, it is drawing nearer. And to be honest, that seems like progress worth keeping an eye on.