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Bert2bert Turkish Paraphrase Generation

Developed by ahmetbagci
A Turkish paraphrase generation model based on the Bert2Bert architecture, used to generate sentences with the same meaning but different expressions.
Downloads 118
Release Time : 3/2/2022

Model Overview

This model is a sequence-to-sequence encoder-decoder model specifically designed for Turkish paraphrase generation tasks. It can take a Turkish sentence as input and generate a semantically equivalent sentence with different wording.

Model Features

Turkish Language Specialization
A paraphrase generation model specifically optimized for Turkish
BERT-based Architecture
Utilizes pre-trained BERT models as a foundation, offering strong language understanding capabilities
Mixed Dataset Training
Trained using a combination of translated QQP datasets and manually generated datasets

Model Capabilities

Turkish Text Generation
Sentence Paraphrasing
Text Rewriting

Use Cases

Natural Language Processing
Text Rewriting
Rewriting Turkish sentences into semantically equivalent but differently expressed forms
Example input: 'Do the latest car models cause less harm to the environment?' → Output: 'Are the latest car models less harmful to the environment?'
Content Diversification
Generating multiple expressions for the same content to increase text diversity
Educational Applications
Language Learning Assistance
Helping Turkish language learners understand different expressions of the same meaning
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