This master's dissertation is concerned with the development and evaluation of AidSLT, a spoken language translation tool designed to collect data in humanitarian settings. The central idea stems directly from and draws upon the work done by the University of Geneva on MedSLT (Bouillon et al., 2005), an analogous tool intended for use in doctor-patient diagnosis dialogues. The author describes a first prototype of the tool designed for administering multilingual household surveys about malaria prevention measures and present the results of a quantitative and qualitative evaluation for the language pair English (L1) French (L2).