Alexandre Patry

Automatic identification of parallel documents with light or without linguistic resources

Parallel corpora are playing a crucial role in multilingual natural language processing Unfortunately, the availability of such a resource is the bottleneck in most applications of interest Mining the web for parallel corpora is a viable solution that comes at a price: it is not always easy to identify parallel documents among the crawled material In this study we address the problem of automatically identifying the pairs of texts that are translation of each other in a set of documents We show that it is possible to automatically build particularly efficient content-based methods that make use of very little lexical knowledge We also evaluate our approach toward a front-end translation task and demonstrate that our parallel text classifier yields better performances than another approach based on a rich lexicon.

Mood at work: Ramses versus Pharaoh

A portable and collapsible bed includes a generally rectangular tubular frame and an inflatable mattress with the inflatable mattress having a connecting means that has loose flaps extending towards the periphery of the hollow main flexible body with the flaps having connectors on the ends thereof which can be connected to the tubes of the tubular frame. The tubular frame is formed in a plurality of sections that are easily separable and can be collapsed to a small fraction of the overall size of the unit while the air mattress, in a deflated condition, remains supported on the frame. The unit also includes an inflating unit that can be converted to a deflating unit without any extraneous tools.