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Latin: A Linguistic Introduction

By Renato Oniga and Norma Shifano

Applies the principles of contemporary linguistics to the study of Latin and provides clear explanations of grammatical rules alongside diagrams to illustrate complex structures.


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The Ancient Language, and the Dialect of Cornwall, with an Enlarged Glossary of Cornish Provincial Words

By Frederick W.P. Jago

Containing around 3,700 dialect words from both Cornish and English,, this glossary was published in 1882 by Frederick W. P. Jago (1817–92) in an effort to describe and preserve the dialect as it too declined and it is an invaluable record of a disappearing dialect and way of life.


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Linguistic Bibliography for the Year 2013

The Linguistic Bibliography is by far the most comprehensive bibliographic reference work in the field. This volume contains up-to-date and extensive indexes of names, languages, and subjects.


Academic Paper


Title: Bootstrapping spoken dialogue systems by exploiting reusable libraries
Author: Giuseppe Di Fabbrizio
Institution: AT&T Labs – Research
Author: Gokhan Tur
Author: Dilek Hakkani-Tür
Institution: AT&T Labs – Research
Author: Mazin Gilbert
Institution: AT&T Labs – Research
Author: Bernard Renger
Institution: AT&T Labs – Research
Author: David Gibbon
Institution: AT&T Labs – Research
Author: Zhu Liu
Institution: AT&T Labs – Research
Author: Bahzad Shahraray
Institution: AT&T Labs – Research
Linguistic Field: Computational Linguistics; Discipline of Linguistics
Abstract: Building natural language spoken dialogue systems requires large amounts of human transcribed and labeled speech utterances to reach useful operational service performances. Furthermore, the design of such complex systems consists of several manual steps. The User Experience (UE) expert analyzes and defines by hand the system core functionalities: the system semantic scope (call-types) and the dialogue manager strategy that will drive the human–machine interaction. This approach is extensive and error-prone since it involves several nontrivial design decisions that can be evaluated only after the actual system deployment. Moreover, scalability is compromised by time, costs, and the high level of UE know-how needed to reach a consistent design. We propose a novel approach for bootstrapping spoken dialogue systems based on the reuse of existing transcribed and labeled data, common reusable dialogue templates, generic language and understanding models, and a consistent design process. We demonstrate that our approach reduces design and development time while providing an effective system without any application-specific data.

CUP at LINGUIST

This article appears in Natural Language Engineering Vol. 14, Issue 3, which you can read on Cambridge's site or on LINGUIST .



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