This poster reports on experiments conducted using Google Cross-language information retrieval (CLIR) capabilities to explore the performance of the engine using English queries to retrieve Arabic documents. A hundred one-term English queries, using information retrieval (IR) terms, were entered in Google, and the top 10 documents retrieved by each query were saved in a local database. The saved documents were analyzed to determine the success of Google in retrieving the correct documents (documents that fit the translated terms) and to explore causes of search failures. The poster presents the results of the analyses conducted on the documents and identifies areas of improvement. It also recommends solutions to problems that hinder successful English-Arabic CLIR on the Web.