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## GATE 2: 27-month report

### Hamish Cunningham, Valentin Tablan, Cristian Ursu, Kalina Bontcheva, 1st October, 2001

This is the third in a series of progress reports for the GATE 2 project (EPSRC grant GR/M31699, running from July 1999 to summer 2002). The previous report is here.

Our work over the last 9 months, from January through September 2001 has centered on:

- releasing version 2 beta 1 of the system;
- adapting GATE and the IE components delivered with it to Indic languages.

## GATE version 2

GATE version 2 has been completely redeveloped in Java, and is a stable, robust, and scalable infrastructure for Natural Language Processing, which allows users to focus on the NLP tasks, while mundane tasks like data storage, format analysis, data visualisation are handled by GATE. The new version has NLP components that will enable you to reliably process documents, including Web documents supplied as URLs, and obtain information such as the sentences they contain, person names, organisations, etc. This is based on a set of reusable NLP components, which you can also use outside GATE by putting them into your own applications (e.g. a news indexing service). GATE also provides standard tools for manual annotation and performance evaluation, which are needed during application development. GATE and its NLP modules have been successfully used in a number of research projects and commercial applications.

## GATE and EMILLE

GATE has been upgraded as a result of the requirements of the EMILLE project, and both the core system and the bundled Information Extraction system are now proven capable of handling Indic (and many other) languages.

The software now supports display of all the EMILLE languages that are in the Unicode standard. This display is imperfect in JDK1.3 but has been improved in JDK1.4. We are currently working on porting to the latter system. In addition, the system supports input methods (for editing of text) for 27 languages, including these EMILLE languages: Bengali, Urdu, Hindi (two variants).

We have conducted successfull experiments in performing Named Entity recognition in Bengali.

The work has been made available to the community under the GNU open source library licence, and has already been taken up by the Max Planck Institute technical group in Nijmegen, who have extended the system's support for Chinese languages.