System for Cross-Language Information Processing, Translation and Summarization (SCRIPTS)
Abstract
This report describes the technical approaches and results for System for Cross-language Information Processing, Translation and Summarization (SCRIPTS) funded under the IARPA MATERIAL program. SCRIPTS consists of components for Automatic Speech Recognition (ASR) and Machine Translation (MT) in order to preprocess the text and speech corpora provided as part of the program. It also includes a text processing component that performs morphological analysis. In user-facing mode, given a query, SCRIPTS Cross-Language Information Retrieval (CLIR) returns relevant documents, while Summarization generates textual summaries of each document to help an analyst confirm which documents returned by CLIR are actually relevant. Over the course of program, the team implemented models for nine different languages: Somali, Swahili, Tagalog, Bulgarian, Lithuanian, Pashto, Farsi, Kazakh, and Georgian.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 22, 2021
- Accession Number
- AD1165721
Entities
People
- David Wan
- Dragomir Radev
- Electra Wallington
- Elsbeth Turcan
- Faisal Ladhak
- Julia Hirschberg
- Kate Knill
- Kathleen Mckeown
- Kenneth Heafield
- Mark Gales
- Neha Verma
- Ojdrej Klejch
- Peter Bell
- Ramy Eskander
- Rui Zhang
- Smaranda Muresan
- Sukanta Sen
- Susan Mcgregor
- Svetlana Tshistiakova
- Victor S. Martinez
Organizations
- Columbia University