Optical Character Recognition + Instance Segmentation for russian and english languages
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Updated
Mar 6, 2022 - Jupyter Notebook
Optical Character Recognition + Instance Segmentation for russian and english languages
Master Project on Image Captioning using Supervised Deep Learning Methods
An improved implementation of Beam Search Decoding in RNN-based Seq2Seq Architecture
This repository contains an implementation of N-Gram Language Models (unigram, bigram, and trigram) and a Beam Search Decoder for correcting text with random errors. The code is written in Python and utilizes the NLTK library for natural language processing tasks.
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