Bigram Language Model

This paper describes the status of the MIT ATIS system as of February 1992, focusing especially on the changes made to the SUMMIT recognizer. These include context-dependent phonetic modelling, the …...

We take a multi-pass approach to ma- chine translation decoding when using syn- chronous context-free grammars as the trans- lation model and n-gram language models: the first pass uses a …...

Traditional wisdom holds that once docu- ments are turned into bag-of-words (unigram count) vectors, word orders are completely lost. We introduce an approach that, perhaps surprisingly, is able to learn …...

In this paper we show that even for the case of 1:1 substitution ciphers—which encipher plaintext symbols by exchang- ing them with a unique substitute—finding the optimal decipherment with respect …...