AI delivery
Turkish natural language processing
Turkish is agglutinative, morphologically rich and vowel-harmonic, and a single root generates hundreds of surface forms. English-trained general models underperform on Turkish for exactly that reason. That makes Turkish NLP a specialism, not a setting, and this page earns links from the Turkish technology community if written properly.
What this service covers
- Turkish and multilingual classification, entity recognition and intent detection
- Tokenisation strategies that do not shred agglutinated forms
- Stemming, vowel harmony and locale-aware casing
- Retrieval-grounded systems for Turkish knowledge bases
- Evaluation with test sets reflecting real usage
- Speech recognition and synthesis support
How it is delivered from Türkiye
Delivered hybrid from Istanbul, with access to Corpshore AI's global annotation and evaluation capability to produce the data the models need.
Industry applications
- Turkish query understanding layer for banks
- Turkish information systems for the public sector
- Model evaluation for Turkish content
Frequently asked questions
- Why is Turkish a separate specialism?
- Turkish is agglutinative and morphologically rich. Tokenisation developed for English shreds agglutinated forms, and the result is suffix agreement errors a native speaker would not produce.
- Which profiles work on this?
- Graduates of Turkish language and literature, linguistics, translation, law and education. Morphological judgement cannot be trained into a general annotator in a week.
Let us build your Türkiye team
Tell us your function, your scale and your language needs. We will come back to you within six hours.