Аннотация
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 Client-Server
architecture to query efficiently parallel corpora
and probabilistic translation dictionaries.
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