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I have previously read the paper Structure-Invariant Testing for Machine Translation, which proposes a method for detecting the robustness problem of machine translation software systems. Below I will detail my understanding of its contents from several aspects. thrust SIT is a method for detecting robustness problems in machine translation software systems. This method utilizes a metamorphosis relation in a metamorphosis test, i.e., “structural invariance”. By selecting original sentences, generating similar sentences, obtaining results from translation software, performing constituent parsing and quantifying sentence differences, and filtering and detecting problems according to a set threshold, SIT can efficiently detect robustness problems in machine translation software systems. According to the experimental results, SIT can process 2k+ sentences in 19 seconds and achieves 70% accuracy for Google/Bing Translate. However, there is still room for improvement, probably due to the threshold selection. ...

When installing the zsh plugin zsh-autosuggestions or zsh-syntax-highlighting, we generally encounter the problem of oh-my-zsh plugin ‘xxx’ not found. Now, we analyze and solve the oh-my-zsh plugin ‘zsh-autosuggestions’ not found and plugin ‘zsh-syntax-highlighting’ not found problems. The reason for the problem is that the code repository of the plug-in has not been cloned to the local location, so the plug-in you want is not actually installed. Solving the problem is very simple, just simply enter the following command: ...