A Grid Based Architecture for High-Performance NLP

We describe the design and early implementation of an extensible, component-based software architecture for natural language engineering applications which interfaces with high performance distributed computing services. The architecture leverages existing linguistic resource description and discovery mechanisms based on metadata descriptions, combining these in a compatible fashion with other software definition abstractions. Within this architecture, application design is highly flexible, allowing disparate components to be combined to suit the overall application functionality, and formally described independently of processing concerns. An application specification language provides abstraction from the programming environment and allows ease of interface with high performance computational grids via a broker.

Developing Open Data Models for Linguistic Field Data

The UQ Flint Archive houses the field notes and elicitation recordings made by Elwyn Flint in the 1950's and 1960's during extensive linguistic survey work across Queensland, Australia. The process of digitizing the contents of the UQ Flint Archive provides a number of interesting challenges in the context of EMELD. Firstly, all of the linguistic data is for languages which are either endangered or extinct, and as such forms a valuable ethnographic repository. Secondly, the physical format of the data is itself in danger of decline, and as such digitization is an important preservation task in the short to medium term. Thirdly, the adoption of open standards for the encoding and presentation of text and audio data for linguistic field data, whilst enabling preservation, represents a new field of research in itself where best practice has yet to be formalised. Fourthly, the provision of this linguistic data online as a new data source for future research introduces concerns of data portability and longevity. This paper will outline the origins of the data model, the content creation components, presentation forms based on the data model, data capture tools and media conversion components. It will also address some of the larger questions regarding the digitization and annotation of linguistic field work based on experience gained through work with the Flint Archive contents.

Grid-Enabling Natural Language Engineering By Stealth

We describe a proposal for an extensible, component-based software architecture for natural language engineering applications. Our model leverages existing linguistic resource description and discovery mechanisms based on extended Dublin Core metadata. In addition, the application design is flexible, allowing disparate components to be combined to suit the overall application functionality. An application specification language provides abstraction from the programming environment and allows ease of interface with computational grids via a broker.