Update README.md

README.md

@@ -74,6 +74,27 @@ This corpus contains texts in 26 languages using the Cyrillic alphabet, designed
 This corpus was compiled as part of an academic project with the aim of creating a resource for the automatic identification of languages using the Cyrillic alphabet, including minority languages rarely represented in language corpora.
 The resulting model demonstrates excellent performance with only 11 errors out of 2,043 test examples, achieving near-perfect calibration and robust performance across different text lengths.
 
+### Methodological choice
+
+#### Belarusian variants merger
+
+Belarusian presents a unique sociolinguistic situation with 2 systems used on Wikipedia:
+
+- `be` (**narkamoŭka** / наркамоўка): official standardized variant
+- `be-tarask` (**taraškevica** / тарашкевіца): historical pre-Soviet variant
+
+##### Justification for the merger
+
+This (mainly, but not exclusively) orthographic duality does not reflect a fundamental linguistic difference but rather distinct political and cultural choices. The merger of both variants in the final corpus is justified by several methodological considerations:
+
+1. **Linguistic unity**: both variants represent the same language with different orthographic et lexical conventions
+
+2. **Practical applications**: for natural language processing applications, this unification enables the creation of more robust models capable of handling natural orthographic variations in Belarusian
+
+3. **Representativeness**: the unification provides a more complete and balanced representation of the Belarusian language in its contemporary usage patterns
+
+This approach respects linguistic diversity while optimizing model efficiency for practical classification applications.
+
 ### Rich linguistic mixes
 
 A unique feature of this corpus is the inclusion of mixed texts combining various closely related Cyrillic languages, including: