11. A system, comprising: at least one computing device comprising a memory that includes executable instructions and a processor executing the instructions to: receive a first source text from an author at a client node; display the first source text at the client node; evaluate a first trust score representing translatability of the first source text using a plurality of types of statistical linguistic analysis, including a machine translation engine; display a plurality of alternative source texts at the client node; evaluate an alternative trust score for each of the plurality of alternative source texts, each of the alternative trust scores representing translatability of the respective alternative source text using the plurality of types of statistical linguistic analysis, including the machine translation engine; enhance the first source text and each of the alternative source texts at the client node to reflect their respective translatability, based on the respective trust scores, the enhancement visually differentiating the first source text from the plurality of alternative source texts displayed within a same authoring environment, the first source text and each of the plurality of alternative source texts having varying translatability from one another; and replace the first source text with a selection of at least one of the plurality of alternative source texts from the author at the client node to improve overall quality of the source text.
11. A system, comprising: at least one computing device comprising a memory that includes executable instructions and a processor executing the instructions to: receive a first source text from an author at a client node; display the first source text at the client node; evaluate a first trust score representing translatability of the first source text using a plurality of types of statistical linguistic analysis, including a machine translation engine; display a plurality of alternative source texts at the client node; evaluate an alternative trust score for each of the plurality of alternative source texts, each of the alternative trust scores representing translatability of the respective alternative source text using the plurality of types of statistical linguistic analysis, including the machine translation engine; enhance the first source text and each of the alternative source texts at the client node to reflect their respective translatability, based on the respective trust scores, the enhancement visually differentiating the first source text from the plurality of alternative source texts displayed within a same authoring environment, the first source text and each of the plurality of alternative source texts having varying translatability from one another; and replace the first source text with a selection of at least one of the plurality of alternative source texts from the author at the client node to improve overall quality of the source text. 12. The system according to claim 11 , wherein the one or more types of statistical linguistic analysis comprises one or more statistical machine translation engines, wherein each of the one or more statistical machine translation engines utilizes one or more domain-based parallel corpora.