中国首个藏语人工智能模型的创建者承诺加快升级步伐，以促进民族融合。
Creators of China’s first Tibetan-language AI model have pledged to speed up upgrades aimed at promoting ethnic integration.
据国家通讯社网站报道，周一举行的研讨会上，来自研究机构、大学和企业的代表共同探讨了大型语言模型“DeepZang”的发展思路。
Approaches to advancing the large language model, DeepZang, were discussed at a seminar on Monday that brought together representatives from research institutes, universities and enterprises, according to state-run portal Chinanews.com.
该活动在中国内蒙古自治区呼和浩特举行，讨论了如何提升藏语人工智能（AI）技术，以及将该模型应用于多语言同声传译等领域。
It said the event held in Hohhot, in China’s northern Inner Mongolia autonomous region, addressed issues such as improving Tibetan artificial intelligence (AI) technologies and expanding the model’s application into multilingual simultaneous interpretation.
发言人包括该模型的创始人丹增诺布，他表示将持续优化藏语AI技术并推动其实用化应用。他还强调，要利用科技创新“促进民族交流与融合”，并支持少数民族地区的数字化发展。
Speakers included Tenzin Norbu, the model’s founder, who vowed to continuously refine Tibetan AI technologies and advance their practical use. He also emphasised the use of technological innovation to “foster ethnic interaction and integration” and support digital development in ethnic minority regions.
“DeepZang”3月份正式发布，距印度多伦噶拉藏语信息技术研究中心（一家坐落于达罗斯拉的非营利组织）推出的藏语大语言模型“Monlam AI”约三年。达罗斯拉是自1960年以来容纳第十四世达赖喇嘛及西藏政府流亡机构的印度山城。
DeepZang’s launch in March came roughly three years after the unveiling of Monlam AI, a Tibetan-language LLM developed by Monlam Tibetan IT Research Centre, a non-profit organisation based in Dharamsala – the Indian hillside town that has hosted the 14th Dalai Lama and the Tibetan administration-in-exile since 1960.
西藏一直是北京在民族宗教事务中的重点关注对象，中国一直加强国内藏学研究，以重新掌控国际上的相关话语权。“DeepZang”正是这一更广泛努力的一部分，即通过自身权威的数据和技术重塑全球对西藏的叙事。
Tibet remains a top priority in ethnic and religious affairs for Beijing, which has consistently bolstered domestic Tibetan studies to regain control of international discourse on the issue. DeepZang is part of this broader effort to reshape global narratives around Tibet with its own authoritative data and technology.
这些努力也体现在北京自2023年起推动在英文文章中使用拼音名称“西藏”而非“Tibet”，从而在全球传播中国的主权叙事。
These efforts are also reflected in Beijing’s push since 2023 to use the romanised Pinyin name “Xizang” instead of “Tibet” in English articles, projecting its sovereign narrative globally.
中国在包括西藏在内的少数民族地区的政策一直是西方政府和人权组织关注的重点，后者多次指责中国存在人权违规。北京坚决否认有任何不法行为。
China’s policies in ethnic minority regions including Tibet have been a major focus of Western governments and rights groups, which repeatedly accuse China of human rights violations. Beijing steadfastly denies any wrongdoing.
3月份，中国通过了《促进民族团结进步法》，旨在对抗西方意识形态影响，并为吸收少数民族群体奠定法律基础。该法于7月生效。
In March, China passed its Law on Promoting Ethnic Unity and Progress, which is designed to counter Western ideological influence and lay the legal foundation for assimilating minority groups. The law took effect in July.
DeepZang在近7000万篇藏语文本和超过30500小时覆盖该语言三大方言的音频资料中进行了训练。它支持藏语、中文和英语之间的AI聊天、实时翻译以及语音识别等功能。
DeepZang has been trained on nearly 70 million Tibetan texts and over 30,500 hours of audio covering the language’s three main dialects. It powers AI chat, real-time translation and speech-to-text features across Tibetan, Chinese and English.
由于独特的语言结构、方言差异以及数字语料库的稀缺，藏语AI技术长期面临低资源挑战，使得精准性和多功能性难以实现。
Tibetan AI technologies have long faced low-resource challenges due to unique linguistic structures, dialect variations and scarce digital corpora, making precision and versatility difficult to achieve.
星期一的中国新闻网报道称，DeepZang连续突破瓶颈，“填补了该领域的关键技术空白，增强了中国民族语言AI技术生态系统的实力”。
Monday’s Chinanews.com report said that DeepZang had continuously broken bottlenecks, “bridging key technical voids in the field and bolstering China’s technology ecosystem for ethnic language AI”.
报道引述任金多说，其他中国少数民族语言的人工智能发展也面临低资源限制，因此跨区域和跨语言的合作至关重要。
As cited in the report, Tenzin Norbu noted that AI development in other Chinese ethnic minority languages also faced low-resource constraints, making cross-regional and cross-linguistic collaboration essential.
研讨会还规划了未来将DeepZang应用于公共服务、教育、医疗卫生和地方治理等领域的计划，并“赋能优秀传统藏文化的数字传播，确保所有民族群体平等分享科技进步的成果”。
The seminar also outlined future plans to integrate DeepZang into sectors including public services, education, healthcare and local governance, while “empowering the digital transmission of fine traditional Tibetan culture and ensuring that all ethnic groups equitably share the benefits of technological progress”.