As a terrible human being, I tested Chinese-to-English translations on f-word-based profanity on the demo page (https://demo-pnmt.systran.net/production https:/

As a terrible human being, I tested Chinese-to-English translations on f-word-based profanity on the demo page (https://demo-pnmt.systran.net/production https://demo-pnmt.systran.net/production). The results were arguably not as good as Google Translate, which can recognize the colloquial form 操[^1] but not the more orthodox 肏. PNMT's results were great in another way as they form more fluent English. [^1]: Everyone hijacked the character. On the other hand, OpenNMT appears able to translate the "f* you!" sentence to "你妈！" in Chinese, a form of "操你妈" with the F word not spoken but implied. The single-f-word sentence generates amusing variations when used with different punctuations, although many ("...", "?", "!", "") fail by reducing the sentence to a normal call for one's own mother. These experiments make me curious about what kind of corpora the system was trained on. * * * The test sentences used were: 操你十八辈子祖宗！[^2] 操你十八辈祖宗！ 操你妈！ [^2]: This one is technically wrong. For the orthodox version, replace all instances of 操 with 肏. As an additional experiment, I tested some variations of "mother" profanities without "操": 1. 你妈！ 2. 他妈的！ 3. 他妈的。 Between #2 and #3, PNMT appears more sensitive to punctuations than human do. #1 is only included as a round-trip validation. Edit: (#1) ... and is not supposed to be translated back into profanity due to high false positive rate.