Translating news articles frequently involves finding foreign language equivalents for proper nouns occurring for the first time in an original article, a time-consuming and labor...
In this paper, we propose a domain specific language for the development of hardware/software cryptographic systems based on the well known Python programming language. It is desi...
In this paper, we exploit non-local features as an estimate of long-distance dependencies to improve performance on the statistical spoken language understanding (SLU) problem. Th...
In this work, we give an algorithm that infers Regular Trace Languages. Trace languages can be seen as regular languages that are closed under a partial commutation relation called...
In this paper we propose a novel statistical language model to capture long-range semantic dependencies. Specifically, we apply the concept of semantic composition to the problem ...