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General Architecture for Text Engineering – GATE
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General Architecture for Text Engineering – GATE

Overview
Synopsis

GATE (General Architecture for Text Engineering) is a Java suite of tools used for all sorts of natural language processing tasks, including information extraction in many languages.

Category

Text Analytics Software

Features

• Capable of solving almost any text processing problem
• Creating robust and maintainable text processing workflows
• In active use for all sorts of language processing tasks and applications

License

Open Source

Price

Free

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1000 employees)

Website
Company

GATE

What is best?

• Capable of solving almost any text processing problem
• Creating robust and maintainable text processing workflows
• In active use for all sorts of language processing tasks and applications

What are the benefits?

• Comprehensiveness
• Scalability
• Openness, extensibility and reusability
• Transparency
• Robustness
• Sustainable efficiency

PAT Rating™ ( Beta)
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
9.5
6.1
Features & Functionality
9.6
5.9
Advanced Features
9.4
4.8
Integration
9.5
6.2
Performance
9.6
6.6
Training
4.6
Customer Support
9.4
Implementation
8.2
Renew & Recommend
Bottom Line

GATE (General Architecture for Text Engineering) is a Java suite of tools used for all sorts of natural language processing tasks, including information extraction in many languages.

9.5
Editor Rating
6.1
Aggregated User Rating
11 ratings
You have rated this

General Architecture for Text Engineering - GATE : GATE (General Architecture for Text Engineering) is a Java suite of tools used for all sorts of natural language processing tasks, including information extraction in many languages. The Text Analytics software was developed at the University of Sheffield beginning in 1995. GATE has grown over the years to include a desktop client for developers, a workflow-based web application, a Java library, an architecture and a process.GATE includes components for diverse language processing tasks, such as parsers, morphology, tagging, Information Retrieval tools, Information Extraction components for various languages, and many others. GATE Developer and Embedded are supplied with an Information Extraction system (ANNIE) .

General Architecture for Text Engineering - GATE

GATE Components

GATE Components

ANNIE is often used to create RDF or OWL (metadata) for unstructured content. ANNIE (A Nearly-New Information Extraction System) is a set of modules comprising a tokenizer, a gazetteer, a sentence splitter, a part of speech tagger, a named entities transducer and a coreference tagger. ANNIE can be used as-is to provide basic information extraction functionality, or provide a starting point for more specific tasks.

General Architecture for Text Engineering

General Architecture for Text Engineering

The core functions of GATE include modelling and persistence of specialised data structures, measurement, evaluation, benchmarking ,visualisation and editing of annotations, ontologies, parse trees, a finite state transduction language for rapid prototyping and efficient implementation of shallow analysis methods (JAPE), extraction of training instances for machine learning and pluggable machine learning implementations for Weka, YALE, SVM Lite.

General Architecture for Text Engineering

General Architecture for Text Engineering

Languages currently handled in GATE include English, Spanish, Chinese, Arabic, Bulgarian, French, German, Hindi, Italian, Cebuano, Romanian, Russian. Plugins are included for machine learning with Weka, RASP, MAXENT, SVM Light, as well as a LIBSVM integration and an in-house perceptron implementation, for managing ontologies like WordNet, for querying search engines like Google or Yahoo, for part of speech tagging with Brill or TreeTagger, and many more. Many external plugins are also available, for handling e.g. tweets. GATE accepts input in various formats, such as TXT, HTML, XML, Doc, PDF documents, and Java Serial, PostgreSQL, Lucene, Oracle Databases with help of RDBMS storage over JDBC.

General Architecture for Text Engineering

General Architecture for Text Engineering

GATE Family

GATE Developer is an integrated development environment for language processing components bundled with the most widely used Information Extraction system and a comprehensive set of other plugins. GATE Embedded is an object library optimised for inclusion in diverse applications giving access to all the services used by GATE developer. GATE Teamware is a collaborative annotation environment for high volume factory-style semantic annotation projects built around a workflow engine and the GATE cloud backend web services. GATE Mímir (Multi-paradigm Information Management Index and Repository) is a massively scaleable multiparadigm index supporting Ontotext KIM and built on Ontotext's semantic repository family. GATE Wiki is a Controllable Wiki and CMS with collaborative and asynchronous off-line editing, hosting controlled languages for round-trip ontology engineering. GATE Cloud is a parallel distributed processing engine that combines GATE embedded with a heavily optimised service infrastructure running on supercomputer hardware.

 

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1 Reviews
  • Aaron
    August 28, 2017 at 11:21 am

    Analyze texts, semantic technology or general language processing

    Company size

    Enterprise (>1001)

    User Role

    Super User

    User Industry

    Aerospace

    Rating
    Ease of use8.2

    Features & Functionality8.1

    Advanced Features8.4

    Integration8.2

    Performance8.2

    Implementation8.2

    ADDITIONAL INFORMATION
    GATE enables you to analyze texts, semantic technology or general language processing. GATE combines the RDF and OWL backbones provided by Ontotext, plus cloud processing, the sheer hardware power of Matrixware, and the vast array of plug-ins to offer nice scale to you. GATE has numerous plug and play components and you can see where the rule sets or the ontology or the algorithms fit so you can have a much better insight into how the system works. GATE is quality-controlled by the rigorous application of quantitative evaluation metrics which ensure that the behavior of the systems is predictable. GATE provides many points of entry into the solution set including points where additional services are possible like geographically distributed manual annotation, hosted solutions and integration so you get to enjoy a text engineering solution that is focused on sustainable efficiency. Gate lets you analyze voice of the customer and do cancer research, drug research, decision support, recruitment, web mining, information extraction and semantic annotation.

Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Training
Customer Support
Implementation
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