本論文提出一個英文形容詞改善建議的方法，自動針對句子內的形容詞偵錯並
提供一些適當的形容詞使用建議。我們採取利用語言模型（Language Model,
LM）產生候選字，與使用語言模型和通道模型(Channel Model)所構成的混合
評分技術來建立系統。此方法涉及利用語言模型生成形容詞候選詞，並共同利
用語言模型與噪聲通道模型來做最終評分與排序。實驗結果顯示，我們的方法
能有效保留適當的形容詞並與單純使用語言模型挑選形容詞比起來能獲得較佳
的結果。

We introduce a method for detecting adjective errors and generating appropriate adjective suggestions in a given sentence. In our approach, sentences are transformed into adjective queries aimed at maximizing the probability of detecting and correcting improper word choices. The method involves collecting candidates by masked language models, scoring, and ranking by combining the language model and channel model. We present a prototype adjective correcting service, Properly, that applies the method to correct adjective errors. The evaluation of the Longman Dictionary of Common Error(LDoCE) shows that our method outperforms the baseline which simply uses a masked language model.

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