PECAT User Manual: Difference between revisions

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Pecat is an implementation of a CAT and processing tool of cloud-based linguistic corpus coupled to online interfaces for translation, post-editing, proofreading, evaluation, annotation projects
= PECAT (Platform for Efficient Data Management) =
and audio transcription. Pecat is intended as an excellent solution for projects in which one or more of the following conditions are met:
 
== Overview ==
'''PECAT''' is an advanced multimodal data curation platform developed by Pangeanic, a leader in professional language solutions and knowledge retrieval services. With decades of expertise in artificial intelligence applied to language, content, and data, Pangeanic is dedicated to transferring AI-driven language technology to corporations, cognitive enterprises, organizations, and institutions.
 
== Introduction ==
Since its foundation, Pangeanic has been committed to providing innovative and efficient solutions for managing and analyzing linguistic and communication-related data. Building on this commitment, '''PECAT EXPRESS''' was developed to meet the highest standards of accuracy, speed, and usability.
 
'''PECAT''' stands out as more than just a traditional CAT tool. Its unique features enable users to obtain accurate, customized results tailored to their needs, optimizing time and resources. Whether you are translating documents, labeling and annotating data, or extracting key information, '''PECAT''' is designed to deliver consistent and reliable performance.
 
----
 
== Features and Capabilities ==
 
=== Text Annotation ===
* Comprehensive entity tagging, labeling, and classification.
* Relationship mapping with support for customizable taxonomies, designed specifically for cultural heritage contexts.
 
=== Speech and Audio Annotation ===
* Precise segment marking, transcription, and speaker identification.
* Ideal for documenting audio artifacts, including oral history preservation projects.
 
=== Image Annotation ===
* Advanced visual analysis with bounding box and polygon segmentation.
* Enables precise identification and classification of objects and cultural artifacts.
 
----
 
== Technology Stack ==
 
=== Frontend ===
* '''Next.js'''
* '''React'''
* '''GraphQL'''
* '''Ant Design (Antd)'''
* '''TailwindCSS'''
 
=== Backend ===
* '''Node.js'''
* '''Fastify'''
* '''GraphQL'''
* '''Elasticsearch'''
 
----
 
== Development and Expertise ==
The development of '''PECAT''' has been driven by a dedicated team of experts. Key contributors, such as '''MAG''' and '''Amando''', have played a crucial role in shaping the platform to meet the diverse needs of various industries and applications.
 
----
 
== Use Cases ==
'''PECAT''' has been designed to address a wide range of scenarios involving annotation and translation, including:
 
* '''Cultural Heritage Projects''': Supporting metadata enrichment and annotation for artifacts and historical documents.
* '''Oral History Preservation''': Providing detailed transcription and annotation of speech and audio recordings.
* '''Visual Artifact Classification''': Facilitating precise labeling and analysis of cultural and historical imagery.
 
----
 
== Conclusion ==
'''PECAT''' continues to evolve, setting new standards in content annotation and translation. The platform empowers organizations with AI-driven tools to efficiently manage and analyze their data, ensuring consistent, reliable, and scalable results.


* The format of the file(s) to be processed does not require the use of specialized tools, (.tsv extension files are used,.xlf, mp3, wav and flac). In addition, it is not necessary to use translation memories for work on different translation or revision projects.
* The process lacks context.
* The font is of low quality because of its origin, probably created automatically.
* The final product is used to build training corpus.
* The project is very large and requires a great effort of coordination and management of many suppliers/linguists.
* Lead times are short, requiring full control of progress and quick project management actions.
Pecat is totally online and it is not recommended to use it when the different actors cannot work connected to the Internet or have little connection capacity.


== Access the Platform.  ==
== Access the Platform.  ==

Revision as of 14:07, 16 January 2025

PECAT (Platform for Efficient Data Management)

Overview

PECAT is an advanced multimodal data curation platform developed by Pangeanic, a leader in professional language solutions and knowledge retrieval services. With decades of expertise in artificial intelligence applied to language, content, and data, Pangeanic is dedicated to transferring AI-driven language technology to corporations, cognitive enterprises, organizations, and institutions.

Introduction

Since its foundation, Pangeanic has been committed to providing innovative and efficient solutions for managing and analyzing linguistic and communication-related data. Building on this commitment, PECAT EXPRESS was developed to meet the highest standards of accuracy, speed, and usability.

PECAT stands out as more than just a traditional CAT tool. Its unique features enable users to obtain accurate, customized results tailored to their needs, optimizing time and resources. Whether you are translating documents, labeling and annotating data, or extracting key information, PECAT is designed to deliver consistent and reliable performance.

Features and Capabilities

Text Annotation

  • Comprehensive entity tagging, labeling, and classification.
  • Relationship mapping with support for customizable taxonomies, designed specifically for cultural heritage contexts.

Speech and Audio Annotation

  • Precise segment marking, transcription, and speaker identification.
  • Ideal for documenting audio artifacts, including oral history preservation projects.

Image Annotation

  • Advanced visual analysis with bounding box and polygon segmentation.
  • Enables precise identification and classification of objects and cultural artifacts.

Technology Stack

Frontend

  • Next.js
  • React
  • GraphQL
  • Ant Design (Antd)
  • TailwindCSS

Backend

  • Node.js
  • Fastify
  • GraphQL
  • Elasticsearch

Development and Expertise

The development of PECAT has been driven by a dedicated team of experts. Key contributors, such as MAG and Amando, have played a crucial role in shaping the platform to meet the diverse needs of various industries and applications.

Use Cases

PECAT has been designed to address a wide range of scenarios involving annotation and translation, including:

  • Cultural Heritage Projects: Supporting metadata enrichment and annotation for artifacts and historical documents.
  • Oral History Preservation: Providing detailed transcription and annotation of speech and audio recordings.
  • Visual Artifact Classification: Facilitating precise labeling and analysis of cultural and historical imagery.

Conclusion

PECAT continues to evolve, setting new standards in content annotation and translation. The platform empowers organizations with AI-driven tools to efficiently manage and analyze their data, ensuring consistent, reliable, and scalable results.


Access the Platform.

To access the platform, the following address must be entered in the web browser: https://pecat.pangeamt.com/ If the user holds the role of Project Manager (PM), they will access the PM's workspace.

Elements that make up the main menu of the Project Manager (PM) profile

Pecat for linguists

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