This presentation describes the possibilities of steganographically embedding information in the "noise" created by automatic translation of natural language documents. An automated natural language translation system is ideal for steganographic applications, since natural language translation leaves plenty of room for variation. Also, because there are frequent errors in legitimate automatic text translations, additional errors inserted by an information hiding mechanism are plausibly undetectable and would appear to be part of the normal noise associated with translation. Significantly, it should be extremely difficult for an adversary to determine if inaccuracies in the translation are caused by the use of steganography or by perceptions and deficiencies of the translation software. A prototype, Lost in Translation (LiT), will be presented.