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This project implements a lexical analyzer in Python using regular expressions. It reads a source code file, identifies valid tokens (numbers, words, symbols), and detects invalid characters. The output lists tokens and their types or flags invalid tokens in the code.
An explainability model that can be applied to BERT-based Turkish sentiment analysis models has been developed and its performance has been compared with model spesific Layer-wise relevance propogation expailanbility model of Hila Chefer.
Analisador léxico escrito em Python, projetado especificamente para analisar programas escritos na linguagem de programação C, sendo a primeira etapa de um compilador ou interpretador, responsável por dividir o código-fonte em tokens ou lexemas, que são os componentes básicos da linguagem.