Work

Using Moses to integrate multiple rule-based machine translation engines into a hybrid system

Year: 2008

Type: conference-paper

Abstract: Based on an architecture that allows to combine statistical machine translation (SMT) with rule-based machine translation (RBMT) in a multi-engine setup, we present new results that show that this type of system combination can actually increase the lexical coverage of the resulting hybrid system, at least as far as this can be measured via BLEU score.

Source: Conference on Machine Translation (WMT)

DOI: 10.3115/1626394.1626422

Authors: Andreas Eisele, Christian Federmann, Hervé Saint-Amand, Michael Jellinghaus, Teresa Herrmann, Yu Chen

Institutions: German Research Centre for Artificial Intelligence, Saarland University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: European Commission

OpenAlex ID: W2102909995

FWCI: 5.534

Cites: 9

Cited by: 54

Related to: 10