Myanmar Text Grade-Level Prediction Using Statistical and Linguistics Features

Readability assessment supports curriculum design and adaptive learning by estimating the difficulty of a text for readers at different proficiency levels. However, research on text readability for the Myanmar language remains unexplored, mainly due to the absence of labeled resources and established computational approaches. This paper presents the first comprehensive study on Myanmar text readability classification. We construct a grade-annotated corpus from official Myanmar school textbooks (

Source

Framework Categories

Tool Types

Tags