The present study asks if ChatGPT4, the version of ChatGPT which uses the
language model GPT4, can successfully solve introductory linguistic exams.
Previous exam questions of an Introduction to Linguistics course at a German
university are used to test this. The exam questions were fed into ChatGPT4
with only minimal preprocessing. The results show that the language model is
very successful in the interpretation even of complex and nested tasks. It
proved surprisingly successful in the task of broad phonetic transcription, but
performed less well in the analysis of morphemes and phrases. In simple cases
it performs sufficiently well, but rarer cases, particularly with missing
one-to-one correspondence, are currently treated with mixed results. The model
is not yet able to deal with visualisations, such as the analysis or generation
of syntax trees. More extensive preprocessing, which translates these tasks
into text data, allow the model to also solve these tasks successfully.

研究通过使用 ChatGPT4，即使用语言模型 GPT4 的 ChatGPT 的版本，评估其是否能够成功解决介绍性语言学考试。结果表明，该语言模型在解释复杂且嵌套的任务方面非常成功，但在分析形态和短语方面表现较差。在简单情况下，其表现尚可，但对于罕见的缺少一对一对应关系的情况，结果则不尽相同。该模型尚不能处理诸如分析或生成语法树等可视化任务，但通过对这些任务进行更广泛的预处理，将其转化为文本数据，可以成功解决这些任务。