Work

Factored Translation Models

Year: 2007

Type: conference-paper

Abstract: We present an extension of phrase-based statistical machine translation models that enables the straight-forward integration of additional annotation at the word-level — may it be linguistic markup or automatically generated word classes. In a number of experiments we show that factored translation models lead to better translation performance, both in terms of automatic scores, as well as more grammatical coherence.

Source: Edinburgh Research Explorer (University of Edinburgh)

Authors: Philipp Koehn, Hieu Hoang

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Johns Hopkins University, European Commission, Advanced Research Projects Agency

OpenAlex ID: W2113788796

FWCI: 28.56

Cites: 25

Cited by: 509

Related to: 20