Work

Docent: A Document-Level Decoder for Phrase-Based Statistical Machine Translation

Year: 2013

Type: article

Abstract: We describe Docent, an open-source decoder for statistical machine translation that breaks with the usual sentence-by-sentence paradigm and translates complete documents as units. By taking translation to the document level, our decoder can handle feature models with arbitrary discourse-wide dependencies and constitutes an essential infrastructure component in the quest for discourse-aware SMT models.

Authors: Christian Hardmeier, Sara Stymne, Jörg Tiedemann, Joakim Nivre

Institution: Uppsala University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2141895568

FWCI: 9.272

Cites: 21

Cited by: 49

Related to: 10