Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
An N-gram language model aims at capturing statistical word order dependency information from corpora. Although the concept of language models has been applied extensively to handl...
Model transformations are frequently applied in business process modeling to bridge between languages on a different abstraction and formality. In this paper, we define a transfor...
: The emerging technology complex event processing can be utilized to integrate complex events into business processes and to flexibly adjust processes on changing business require...
We propose a language-independent approach for improving statistical machine translation for morphologically rich languages using a hybrid morpheme-word representation where the b...