Unlike software development projects, localization and translation projects have subjective quality requirements due to the nature of natural language.

与软件开发项目不同，由于自然语言的本质，本地化和翻译项目的质量要求比较主观。

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Another way to determine attitudes is natural language processing methods, where software algorithms use different sets of rules to decipher statements and try to glean their intended meaning.

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The vagaries of hardware, software and natural language will always ensure that exact reproducibility remains uncertain, but withholding code increases the chances that efforts to reproduce results will fail.

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When the software gets it wrong, it tends to be around the natural ambiguities of language, when for example people say not, not.

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