We describe a novel approach to machine translation that combines the strengths of the two leading corpus-based approaches: Phrasal SMT and EBMT. We use a syntactically informed d...
We investigate a series of targeted modifications to a data-driven dependency parser of German and show that these can be highly effective even for a relatively well studied langu...
We define an observational equivalence for Lafont’s interaction combinators, which we prove to be the least discriminating non-trivial congruence on total nets (nets admitting ...
In many of embedded systems, particularly for those with high data computations, the delay of memory access is one of the major bottlenecks in the system's performance. It ha...
This paper investigates the application of a probabilistic parser for natural language on the list of the Nbest sentences produced by an off-line recognition system for cursive h...