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This paper presents a new approach to partial parsing of context-free structures. The approach is based on Markov Mod- els. Each layer of the resulting structure is represented by its …...

We present a memory-based learning (MBL) approach to shallow parsing in which POS tagging, chunking, and identification of syntactic relations are formulated as memory-based modules. The experiments reported in this …...

We present a rule−based shallow− parser compiler, which allows to generate a robust shallow−parser for any language, even in the absence of training data, by resorting to a very limited …...

AbstractAligning the NPs of parallel corpora is logically halfway between the sentence- and word-alignment tasks that occupy much of the MT literature, but has received far less attention. NP alignment …...