On-Demand NLP

Full-Featured Annotation Server

LCC's On-Demand NLP streamlines the process of creating annotated indexes from collections of text in English, Chinese, Korean, and Farsi.

Introduction

When faced with terabytes of text, information consumers need robust tools that will allow for the annotation of large amounts of data in a reasonable amount of time. LCC's On-Demand NLP delivers the high-performance indexing capabilities needed to unlock value from even the largest of corpora. Users can interact with On-Demand NLP's built in file browser to select the documents that should be added (or removed) from an existing index.

In addition to providing preprocessing capabilities for HTML, SGML, XML, PDF, RTF, and Microsoft Word documents, On-Demand NLP includes built-in WWW harvesting engines which make it easy to download web content or to interface with popular search engines.

Work only with the files you need.

On-Demand NLP provides access to the state-of-the-art search and filtering capabilities provided by LCC's Ferret and CiceroCustom products.

Drowning in documents? With On-Demand NLP, you can filter documents based on:

  • Document Type
  • Document Creation Date
  • Document Language
  • Keywords or Natural Language Questions
  • Entities from CiceroLite
  • Events from CiceroCustom

Select the right level of annotation.

With On-Demand NLP, users can specify the amount of information that should be associated with an index.

Need to create indexes quickly for CiceroCustom or Ferret? On-Demand NLP's "light" mode can process documents at nearly 80 KB/s using standard hardware.

Need access to even information available from CiceroCustom extractors? On-Demand NLP's "full" indexing mode annotates documents with speeds up to 25 KB/s.

Distributed indexing that's ready when you are.

On-Demand NLP makes it easy to distribute the creation of indexes across networked machines. With one simple interface, users can monitor the progress of indexing, start (or stop) indexing on remote hosts, or even schedule indexing to begin at a later time or date.

On-Demand NLP also simplifies the process of adding new annotations (or documents) to an existing index. Unlike other available annotation tools. there's no need to re-annotate entire indexes: users can simply "update" indexes with just the annotations they need more.

Integrating other applications with OpenCicero

More information about integrating the on-demand-nlp into your natural language processing environment with OpenCicero will be made available soon.

Hardware / Software Requirements

LCC's On-Demand NLP was designed to run on standard hardware. Have questions about whether it'll run in your environment? E-mail us at support@languagecomputer.com.

  • Minimum Specifications: single-core 2.0 GHz processor , 1 GB of available RAM at run-time.
  • Recommended Specifications: multi-core 2.0 GHz (or better) processor, 2 GB of available RAM.
  • Supported Operating Systems (Desktop Applications): Microsoft Windows (95, 98, XP, Vista), Macintosh OS X, Linux (RedHat, CentOS, Ubuntu, etc.), Solaris.
  • Supported Web Service Protocols: SOAP, REST.

Supported Languages and File Formats

On-Demand NLP is available for English, Arabic, Chinese, Farsi, and Korean documents. On-Demand NLP currently processes a wide range of file formats, including Microsoft Word (.doc, .docx), Microsoft Excel (.xls, .xlsx), Microsoft PowerPoint (.ppt, .pptx), XML, PDF, HTML, RTF, and plain text files.

Interested in other languages? Need support for other file formats? Contact us at at support@languagecomputer.com for an estimate.

For More Information

For more information about On-Demand NLP, call our product support team at (972) 231-0052, or e-mail us at support@languagecomputer.com.