This document introduces the General Architecture for Text Engineering (GATE), a suite of Natural Language Processing (NLP) tools developed at the University of Sheffield, which helps in various applications like machine translation, sentiment analysis, and co-reference resolution. It details the features and functionalities of GATE, including a graphical user interface for developing language processing software, and describes specific components such as the ANNIC (A Nearly-New Information Extraction System) and Mimir for indexing and searching linguistic information. The document also provides installation instructions for Mimir and links to additional resources for further exploration.

1. GATE
General Architecture
for Text Engineering
Presented by Ahmed Magdy Ezzeldin

2. What is Text Engineering?
● Text or Language Engineering means applying
scientific principles to the design, construction and
maintenance of tools to help deal with information
that has been expressed in natural languages
(the languages that people use for communicating
with one another).

3. Applications
● Automatic summarization
● Co-reference resolution
● Discourse analysis (elaboration, explanation, contrast, question, statement, assertion)
● Machine translation
● Morphological segmentation
● Named entity recognition
● Natural language generation
● Natural language understanding
● Optical character recognition (OCR)
● Part-of-speech tagging
● Parsing
● Question answering
● Relationship extraction
● Sentiment analysis (Polarity)
● Speech recognition (Speech segmentation)
● Sentence breaking, Word segmentation, Topic segmentation
● Word sense disambiguation

4. What is GATE?
● General Architecture for Text Engineering
● Java suite of NLP tools
● University of Sheffield
● Initial Release 1995 (17 years ago)
● Last Stable Release 6.1 May 6, 2011
● Languages : English, Spanish, Chinese, Arabic, Bulgarian, French,
German, Hindi, Italian, Cebuano, Romanian, Russian.
● Accepted Input Formats TXT, HTML, XML, Doc, PDF and Java
Serial, PostgreSQL, Lucene, Oracle Databases
● GATE Developer which is a GATE graphical user interface, like
Eclipse for Java programmers, provides a graphical environment for
research and development of language processing software.

5. Gate Components and APIs

6. ANNIE GATE Application
● A Nearly-New Information Extraction System
● Example Application for English Language Engineering
● A set of modules:
● Tokenizer
● Gazetteer
● Sentence splitter
● Part-of-speech tagger
● Named entities transducer
● Co-reference tagger.

7. ANNIE Architecture

8. Demos
● ANNIE Gazetteer: A list lookup component. The list files are
located in $GATE_HOME/plugins/ANNIE/resources/gazetteer
● JAPE Transducer: JAPE is a Java Annotation Patterns Engine.
JAPE provides finite state transduction over annotations based
on regular expressions. Example files are located in
$GATE_HOME/plugins/ANNIE/resources/NE
● ANNIE NE Transducer: (ANNIE named entity grammar) a
semantic tagger based on the JAPE language.

9. Mimir
● Provides indexing and searching the linguistic
and semantic information generated by GATE
Demo

10. Installing Mimir

11. ● Open GATE and Load ANNIE Systems with
Defaults
● Then click the
Manage CREOLE
Plug-ins

12. Add Mimir Client Path
● Add Mimir as a Plugin and set mimir-client directory

13. ● Make sure Mimir Plugin is loaded now and every
time you open GATE

14. ● Add Mimir Indexing PR to
Processing Resources

15. ● Create a New Corpus from Language Resource

16. ● Right Click the Corpus and populate it with Documents

17. Edit the Default Index Template
● Open http://localhost:8080/mimir-demo in your
browser and go to the configuration page
● Then go to the Index Templates section and
manage them
● Then Click on the default Index Template to edit it.

18. Add some annotations to the Default Index Template

19. Add a new Index

20. Edit the Index you created and set the Scorer Algorithm
(1)
(2)
(3)

21. Copy the Index URL

22. Paste Index URL in Mimir and Run ANNIE on the Corpus

23. Double click any document and check Annotations yourself

24. Close and Search the Index
(1)
(2)

25. Example Query

26. Thank you

27. References
GATE Website (it is huge)
http://gate.ac.uk
Mother of all Knowledge
http://www.wikipedia.com