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Mt5 M2o Chinese Simplified Crosssum

Developed by csebuetnlp
An mT5 many-to-one model fine-tuned on the CrossSum dataset, capable of summarizing texts written in multiple languages into Chinese (Simplified)
Downloads 43
Release Time : 4/25/2022

Model Overview

This model is a multilingual text summarization model based on the mT5 architecture, specifically optimized for cross-lingual summarization tasks, capable of generating Chinese (Simplified) summaries from input texts in various languages.

Model Features

Multilingual Support
Supports input in over 40 languages, capable of handling a wide range of cross-lingual summarization tasks
Chinese Summary Output
Generates Chinese (Simplified) summaries regardless of the input language
Based on CrossSum Dataset
Fine-tuned using the CrossSum dataset specifically designed for cross-lingual summarization tasks

Model Capabilities

Cross-lingual Text Summarization
Multilingual Understanding
Chinese Text Generation

Use Cases

News Media
Multilingual News Summarization
Automatically summarize news reports in different languages into Chinese
Helps Chinese readers quickly grasp key points of global news
Academic Research
Cross-lingual Literature Review
Summarize research papers in different languages into Chinese
Facilitates researchers in quickly accessing international academic trends
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