With the development of Web 2.0, a lot of content is nowadays generated online by users. Due to its characteristics (e.g., use of jargon and abbreviations, typos, grammatical and style errors), the user-generated content poses specific challenges to machine translation. This paper presents an online platform devoted to the pre-editing of user-generated content and its post-editing, two main types of human assistance strategies which are combined with domain adaptation and other techniques in order to improve the translation of this type of content. The platform has recently been released publicly and is being tested by two main types of user communities, namely, technical forum users and volunteer translators.