NatServer: A Client-Server Architecture for building Parallel Corpora applications

Parallel corpora are important resources for most Natural Language processing tasks. From the common applications, like machine translation, to the usually mono-lingual tasks as paraphrase detection and word sense disambiguation, most researchers are using massive parallel corpora. Thus, the availability of an efficient way to manage them is very important. This paper presents a ClientServer architecture to query efficiently parallel corpora and probabilistic translation dictionaries.