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2008 First International Conference on Distributed Framework and Applications
In the framework of meaning representation in Natural Language Processing (NLP), we aim to develop a system that can be used for heterogeneous applications such as Machine Translation, Information Retrieval or Lexical Access. This system is based on six hypotheses which concern meaning representation and acquisition. In this paper, we discuss the related hypotheses that motivate the construction of a such system and how these hypotheses, together with NLP software engineering concerns, led usdoi:10.1109/icdfma.2008.4784421 fatcat:wz7nucjakjgjzhsl5hinlcqqsi