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Mt5 M2o English Crosssum

Developed by csebuetnlp
A multilingual summarization model based on the mT5 architecture, capable of summarizing text in multiple languages into English
Downloads 16
Release Time : 3/2/2022

Model Overview

This model is fine-tuned on the CrossSum dataset, specializing in generating English summaries from multilingual input texts, supporting dozens of languages including Chinese, English, French, and more.

Model Features

Multilingual Support
Supports input in over 40 languages and outputs unified English summaries
Cross-lingual Summarization
Capable of directly summarizing non-English texts into English without intermediate translation steps
Based on mT5 Architecture
Leverages the powerful multilingual representation capabilities of mT5 to achieve high-quality cross-lingual summarization

Model Capabilities

Text Summarization
Cross-lingual Processing
English Generation

Use Cases

News Media
Multilingual News Summarization
Summarizes news reports in different languages into English, facilitating quick information access for international news agencies
Improves news collection efficiency and reduces language barriers
Academic Research
Cross-lingual Literature Review
Summarizes non-English academic papers into English, helping researchers quickly grasp field advancements
Promotes international academic exchange and enhances research efficiency
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