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Language Computer
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Language Computer

Overview
Synopsis

Language Computer offers a complete line of interoperable natural language processing, semantic search, and knowledge acquisition products.

Category

Text Analytics Software, Statistical Text Analysis Software, Text Categorization Software, Named Entity Extraction Software

Features

• Text annotation
• Content management
• Custom Information Extraction
• Question Answering
• Knowledge Acquisition

License

Proprietary

Pricing

Subscription

Free Trial

Available

Users Size

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

Company

Language Computer

What is best?

• Text annotation
• Content management
• Custom Information Extraction
• Question Answering

What are the benefits?

• Simplifies the process of adding new annotations
• Automatically identifies specific information about entities and events
• Extracts information with surpassed precision
• Automatically creates content rich dossiers for any entity
• Enables users to get answers to natural language questions

PAT Rating™ ( Beta)
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.7
8.3
Features & Functionality
7.7
8.2
Advanced Features
7.7
8.3
Integration
7.7
8.1
Performance
7.7
Training
8.1
Customer Support
7.7
8.1
Implementation
Renew & Recommend
Bottom Line

Language Computer's CiceroLite recognizes hundreds of different types of named entities in English, Arabic, and Chinese texts with nearly 90% precision and recall.

7.7
Editor Rating
8.2
Aggregated User Rating
1 rating
You have rated this

Language Computer offers a complete line of interoperable natural language processing, semantic search, and knowledge acquisition products.Language Computer's CiceroLite recognizes hundreds of different types of named entities in English, Arabic, and Chinese texts with nearly 90% precision and recall. Language Computer's CiceroCoref increases the utility of entity extraction from natural language texts by identifying multiple references to the same entity, even when different expressions used to refer to the same entity are used.

LCC's Pinpoint temporal and spatial normalization system unlocks value from raw texts by automatically converting temporal and spatial expressions into formats that can be easily visualized.

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1 Reviews
  • Lucas
    August 28, 2017 at 11:23 am

    Provides the text annotation product that feature entity extraction, conference resolution and temporal and spatial awareness

    Company size

    Enterprise (>1001)

    User Role

    Consultant

    User Industry

    Transportion

    Rating
    Ease of use8.3

    Features & Functionality8.2

    Advanced Features8.3

    Integration8.1

    Training 8.1

    Customer Support8.1

    ADDITIONAL INFORMATION
    Language Computer provides the text annotation product that feature entity extraction, conference resolution and temporal and spatial awareness. The high performance entity extraction, CiceroLite, enables recognition of types of named entities in different languages in text using high precision, accuracy and recall. The high performance entity extraction provides a state-of-the-art performance for large entity type hierarchies. The index manager featured in content management facilitates streamlining of processes that create annotated indexes from collection of text in English, Chinese, Korean, Farsi and Arabic. Language Computer also features the CiceroCustom that facilitates open domain information extraction for attributes, entities, relationships and events majorly in Chinese, English and Arabic. Language Computer uses question answering technology in Ferret that provides a good platform for easy receiving of direct and relevant answers to natural language questions. With Ferret, users are enabled to get precise and high performance question answering. The knowledge acquisition features the Dossier generation that facilitates turning of raw documents into content-filled wikis.

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

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