本論文提出了一個方法，能為使用者輸入的腳本自動生成包含有效詞彙串的EMI新腳本，用於課堂教學。
我們在一個現有詞彙串表中，以添加新條目的方式，生成了一個豐富的詞彙串庫。
同時，此方法涉及從詞彙串庫中檢索相關詞彙，以提示工程運用大型語言模型（LLM）來生成改進後的腳本。
初步評估顯示，我們提出的系統能夠有效地提升輸入腳本的品質。我們提出了一個原型系統 E.M.I.ghty，並將該方法應用於真實的課堂交流。
用一組課堂腳本做為測試資料，進行人工評估後表示該系統能有效提升腳本品質。我們的方法支持用語料庫中的新詞彙串補充短語庫，結合檢索增強生成 (RAG) 技術，幫助用戶更有效地生成改進的 EMI 腳本。

We present a method that automatically generates a new script with effective EMI lexical bundles for a given script.
In our approach, new entries are added to an existing list of lexical bundles to generate an enriched Lexical Bundle Phrase Bank.
The method involves retrieving relevant phrases from Lexical Bundle Phrase Bank, composing an RAG prompt, and utilizing LLM to generate an improved script.
At run-time, a given script from a user is broken into sentences, and lexical bundles are retrieved from the Phrase Bank. LLM takes the script and lexical bundles as input and generates an improved EMI script back to the user.
We present a prototype system, E.M.I.ghty, that applies this method to real-world classroom communication. Human evaluation on a set of classroom scripts shows that the proposed system effectively enhances script quality.
Our methodology supports supplementing a phrase bank with new lexical bundles in a speech corpus, thus helping users more effectively in generating improved EMI scripts, with a retrieval-augmented generation technique.

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