An ideal summarization system should produce summaries that have high content coverage and linguistic quality. Many state-ofthe-art summarization systems focus on content coverage...
Performance of n-gram language models depends to a large extent on the amount of training text material available for building the models and the degree to which this text matches...
When making an engineering design decision, it is often necessary to consider its implications on both system performance and dependability. In this paper, we present a performabi...
Ann T. Tai, William H. Sanders, Leon Alkalai, Savi...
TLM (Transaction-Level Modeling) was introduced to cope with the increasing complexity of Systems-on-Chip designs by raising the modeling level. Currently, TLM is primarily used fo...
This paper reports on the benefits of largescale statistical language modeling in machine translation. A distributed infrastructure is proposed which we use to train on up to 2 t...
Thorsten Brants, Ashok C. Popat, Peng Xu, Franz Jo...