D. Jurafsky

Deep neural networks (DNNs) are now a central component of nearly all state-of-the-art speech recognition systems. Expand

You will find in this volume papers from the 23rd International Conference on Computational Linguistics (COLING 2010) held in Beijing, China on August 23-27, 2010 under the auspices of the ICCL, and organized by the Chinese Information Processing Society (CIPS). Expand

We show that automatic speech recognition is feasible in psychotherapy, but further improvements are needed before widespread use. Expand

The design of a natural language understanding system is dependent on a rich and structured knowledge representation. Expand

We introduce a framework to make predictions about conjunctive logical queries---i.e., subgraph relationships---on heterogeneous network data, which can involve the logical conjunction of several edge relationships. Expand

Preface 1. From core to periphery: a study on the directionality of syntactic change in Japanese 2. On the extension of body- part nouns to object-part nouns and spatial adpositions 3. Noun classes: language change and learning 4. Multifunctionality: the developmental path of the quotative tte in Japanese 5. Suppletion in the paradigms of copula verbs. Expand

This thesis explores the use of Latent Semantic Analysis to augment an N-gram language model to improve the accuracy of a large vocabulary speech recognition system. Expand