综合一区欧美国产,99国产麻豆免费精品,九九精品黄色录像,亚洲激情青青草,久久亚洲熟妇熟,中文字幕av在线播放,国产一区二区卡,九九久久国产精品,久久精品视频免费

CULTURE

CULTURE

AI language model hopes to preserve metropolis' local dialect

By ZHENG ZHENG????|????CHINA DAILY????|???? Updated: 2024-11-22 07:57

Share - WeChat
The language model's development team discussing the project. [Photo by ZHENG ZHENG/CHINA DAILY]

A team of researchers at Shanghai University has unveiled an artificial intelligence language model designed to help preserve and promote the native Shanghai dialect. Named Xiao Hu, the model is capable of speech recognition, text-to-speech conversion, and dialogue between the Shanghai dialect and Mandarin Chinese.

"Our goal extends far beyond merely teaching AI to speak Shanghainese," says Zeng Jun, director of Shanghai University's publicity department. "Our true objective is to leverage this language model as a means to preserve and innovate the development of the Shanghai dialect, enabling more people, especially Shanghai, to become familiar with and use it."

The impetus behind the project stems from the university's deep-rooted excellence in Chinese language studies and its vision of empowering Chinese through AI technology. Renowned scholars, such as Professor Qian Nairong, a leading authority on the research of the Shanghai dialect, and Associate Professor Ding Dimeng, a Shanghai dialect expert, have laid the foundation for this project.

Ding underscored the cultural significance of the Shanghai dialect, describing it as the root of the city's identity, which contains ancient pronunciations and modern loanwords. "The Shanghai dialect is indispensable in this metropolis," Ding says. "I believe this language model can play an important role in language and dialect preservation efforts, accomplishing tasks that individuals cannot."

The urgency of the project cannot be overstated.

According to doctorate candidate Fan Tianyu, a key member of the development team, a recent statistic shows that only 22 percent of Shanghai residents aged 6 to 20 still use the dialect. The dialect's precarious state highlights the challenge of creating and purifying high-quality language data sets.

1 2 Next   >>|

Registration Number: 130349

Mobile

English

中文
Desktop
Copyright 1994-. All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co(CDIC).Without written authorization from CDIC, such content shall not be republished or used in any form.
海宁市| 古丈县| 山西省| 苏州市| 肥乡县| 平湖市| 盘锦市| 湖州市| 章丘市| 通海县| 房山区| 曲阳县| 会泽县| 宁波市| 海晏县| 阜宁县| 郎溪县| 河间市| 舟曲县| 洛川县| 湘潭县| 闸北区| 喀喇沁旗| 张北县| 隆林| 肃南| 武陟县| 方正县| 玉田县| 屏南县| 郧西县| 吴江市| 阿勒泰市| 宁津县| 清镇市| 天水市| 吉安县| 蒙自县| 九寨沟县| 江城| 寿光市|