New Resources for Document Classification, Analysis and Translation Technologies

The goal of the DARPA MADCAT (Multilingual Automatic Document Classification Analysis and Translation) Program is to automatically convert foreign language text images into English transcripts, for use by humans and downstream applications. The first phase the program focuses on translation of handwritten Arabic documents. Linguistic Data Consortium (LDC) is creating publicly available linguistic resources for MADCAT technologies, on a scale and richness not previously available. Corpora will consist of existing LDC corpora and data donations from MADCAT partners, plus new data collection to provide high quality material for evaluation and to address strategic gaps (for genre, dialect, image quality, etc.) in the existing resources. Training and test data properties will expand over time to encompass a wide range of topics and genres: letters, diaries, training manuals, brochures, signs, ledgers, memos, instructions, postcards and forms among others. Data will be ground truthed, with ...

• Type: Conference
• Year: 2008
• Where: LREC
• Authors: Stephanie Strassel, Lauren Friedman, Safa Ismael, Linda Brandschain
• Keywords: Education, Handwritten Arabic Documents, Linguistic Data Consortium, LREC 2008, Test Data Properties