人工智能与语言的空间记录
Artificial Intelligence and the Spatial Documentation of Languages
AI总结：
本研究探讨了GPT-4和GPT Data Analyst在语言记录中生成语言地图的能力，表明AI可简化制图流程并辅助田野语言学家，但仍需进一步发展以克服不一致性和图例添加困难等问题。
摘要：
技术的进步使跨学科研究更加容易开展。尤其是人工智能（AI）的突破，为从事跨学科和多学科领域研究的研究人员带来了巨大优势。本研究考察了AI模型，特别是GPT-4和GPT Data Analyst，在为语言记录创建语言地图方面的能力。本研究将记录语言学、语言地理学和AI相结合，展示了AI模型如何通过创建语言地图，在仅需极少制图专业知识的情况下促进语言的空间记录。研究使用了一个CSV文件和一个GeoJSON文件，两者均来自HDX以及研究人员的田野调查。随后，研究数据被应用于与AI模型的实时对话中，以生成语言分布地图。本研究突出了这两种AI模型在生成高质量静态和交互式网络地图以及简化制图流程方面的能力，尽管它们也面临诸如不一致性和添加图例困难等挑战。研究结果表明，AI在生成语言地图以及辅助记录语言学家在田野中收集数据方面具有广阔前景，同时也指出需要进一步开发，以充分发挥AI在该领域的潜力。
英文摘要：
The advancement in technology has made interdisciplinary research more accessible. Particularly the breakthrough in Artificial Intelligence AI has given huge advantages to researchers working in interdisciplinary and multidisciplinary fields. This study investigates the ability of AI models, particularly GPT4 and GPT Data Analyst in creating language maps for language documentation. The study Integrates documentary linguistics linguistic geography and AI by showcasing how AI models facilitate the spatial documentation of languages through the creation of language maps with minimal cartographic expertise. The study is conducted using a CSV file and a GeoJSON file both obtained from HDX and from the researchers fieldwork. The study data is then applied in realtime conversations with the AI models in order to generate the language distribution maps. The study highlights the two AI models capabilities in generating highquality static and interactive web maps and streamlining the mapmaking process, despite facing challenges like inconsistencies and difficulties in adding legends. The findings suggest a promising future for AI in generating language maps and enhancing the work of documentary linguists as they collect their data in the field pointing towards the need for further development to fully harness AI potential in this field.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
