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Language Planning as a Sociolinguistic Experiment

By: Ernst Jahr

Provides richly detailed insight into the uniqueness of the Norwegian language development. Marks the 200th anniversary of the birth of the Norwegian nation following centuries of Danish rule


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Acquiring Phonology: A Cross-Generational Case-Study

By Neil Smith

The study also highlights the constructs of current linguistic theory, arguing for distinctive features and the notion 'onset' and against some of the claims of Optimality Theory and Usage-based accounts.


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Language Production and Interpretation: Linguistics meets Cognition

By Henk Zeevat

The importance of Henk Zeevat's new monograph cannot be overstated. [...] I recommend it to anyone who combines interests in language, logic, and computation [...]. David Beaver, University of Texas at Austin


Academic Paper


Title: 'Bootstrapping spoken dialogue systems by exploiting reusable libraries'
Author: GiuseppeDi Fabbrizio
Institution: 'AT&T Labs – Research'
Author: GokhanTur
Author: DilekHakkani-Tür
Institution: 'AT&T Labs – Research'
Author: MazinGilbert
Institution: 'AT&T Labs – Research'
Author: BernardRenger
Institution: 'AT&T Labs – Research'
Author: DavidGibbon
Institution: 'AT&T Labs – Research'
Author: ZhuLiu
Institution: 'AT&T Labs – Research'
Author: BahzadShahraray
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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