A Turkish paragraph containing inflected words, abbreviations, and multiple sentences.
Turkish text processing
Akana
Build applications that account for the structure of Turkish.
Akana is a Turkish natural language processing toolkit built in Rust with Python bindings. Tokenization, morphology, normalization, readability, and text chunking provide a text-processing layer for search and language applications.
01 / INPUT TO OUTPUT
Tokenize the text with Turkish-aware rules, then apply morphology, normalization, or chunking as needed.
Text segments and linguistic analyses for search, document review, or natural language processing workflows.
02 / WHAT IT DOES
Analyze Turkish word structure
Inspect morphological structure and handle Turkish-specific casing, suffixes, and spelling patterns.
Prepare text for retrieval
Split Turkish text into sentences or chunks while preserving their positions in the source text.
Measure and normalize text
Use Turkish-focused readability formulas, spelling checks, and tools for normalizing informal text.
03 / WORK WITH ALTAI
From a component
to your application.
ALTAI uses Akana to build the text-processing layer for Turkish document preparation and search workflows. We evaluate the relevant steps on your organization's text and integrate the selected operations into the application.
Explore custom developmentWORK WITH ALTAI
Have a task for this?
Tell us what the system needs to do, what data is available, and where it should run.
Discuss this project