NirvanLabs

Terrior

Terrior is being built to localise products at the level of a region rather than a language. It rests on the lab’s research into how a language is used from one region to the next.

One language, many regions

Localisation today works at the level of a language, or of a country. One Hindi version serves Delhi and Lucknow alike, and one German version serves Munich and Hamburg. Terrior is meant for the region where the text will be read. More will be published here when it opens to clients.

What is measured

Terrior measures three kinds of difference between regions.

The first is choice. Where a language offers several competing words for one thing, a region tends to settle on one of them.

The second is mixing. Where a region writes one language with words borrowed from another, it uses the borrowed word in place of the native one at a rate of its own.

The third is divergence. Some words are shared by a region and its neighbours but understood differently on either side of the boundary. The spelling is the same and the sense is not. This measure is not yet used in localisation.

How a difference is judged

Two samples of writing never agree exactly, even when they come from the same place. Some difference between two regions is therefore expected by chance alone. A difference only counts if it is larger than the difference found inside a single region.

Each measurement is calibrated against a within-region noise floor, the spread observed when one region’s usage is compared with another sample of itself. A word is reported as regional only when the difference between regions stands clear of that floor. Results are then checked against words that dictionaries already record as regional.

Decision rule. A difference between two regions is reported only when it lies beyond the within-region noise floor.Within-region noise floorfloorno differencelarger differenceDifference in how a word is used, between two samplesOne region, two samplessets the floorTwo regions, within the floornot reportedTwo regions, clear of the floorreported as regional
Schematic of the decision rule. Each bar is one comparison with its uncertainty. Positions are illustrative; no measured values are shown.

Findings

Word choice in German: Germany, Austria and Switzerland

September 2026

The measure of word choice was first tested on words that dictionaries already record as Austrian or Swiss. Of those that occurred in the material, 98% were assigned to the correct country. On a control set of common words with no known regional alternative, 4% were marked as regional in error.

Applied to everyday commercial vocabulary, the measure finds words that one country uses markedly more often than the other two: brutto in Austria, Gutschein and Versandkosten in Germany, Kundendienst and Abo in Switzerland.

Differences in meaning, where one word is understood differently on either side of a border, were measured as well. Some words clear the within-region noise floor, but most of them are discourse adverbs such as wiederum and daneben, whose use is diffuse in every country rather than different between them. Almost no commercial vocabulary is among them.

English in Hindi: Delhi and Lucknow

September 2026

Delhi and Lucknow share a written standard. The measurement covered 113 concepts, each of which can be written either with an English loanword or with a Hindi word, such as रिव्यू or समीक्षा for review. The two cities discuss these concepts equally often. They differ in which word they choose: Delhi uses the English word 40% of the time and Lucknow 28%. Of the 102 concepts where the cities differ at all, Delhi uses more English for 87 (sign test, p = 1.7 × 10−13). The gap is not limited to commercial words, and general vocabulary shows it too.

The difference between the cities appears in two independent sources of text. The absolute level of English does not carry over from one source to the other, and within one city it varies between sources about as much as it varies between the cities. What holds is the difference.

Status

Being built. Measurement is complete for German in Germany, Austria and Switzerland, and for Hindi in Delhi and Lucknow. A study in which reviewers from each region compare text localised by Terrior with standard localisation is designed and has not yet been run.

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