In statistical language modeling, one technique to reduce the problematic effects of data sparsity is to partition the vocabulary into equivalence classes. In this paper we invest...
This paper presents an attempt at building a large scale distributed composite language model that simultaneously accounts for local word lexical information, mid-range sentence s...
Large-scale lexical knowledge acquisition is one of the most time critical steps in developing a knowledge-based machine translation system. In particular, developing the syntacti...
John R. R. Leavitt, Deryle W. Lonsdale, Kevin Keck...
We present a method for automatically creating large-scale semantic networks from natural language text, based on deep semantic analysis. We provide a robust and scalable implement...
Pia-Ramona Wojtinnek, Brian Harrington, Sebastian ...