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A language independent Linearization Engine. OxyGen takes an input expression in the form of the Abstract Meaning Representation (AMR) developed for the Nitrogen generator and works out a linear ordering for the specified lexical items. The output of the linearization process is a word lattice. A language (oxyL) is specified for writing linearization rules. The linearization process is hybrid, combining symbolic and statistical information. The system has been used in machine translation efforts such as ChinMT and others from Bonnie Dorr.
Nizar Habash, Bonnie J. Dorr, and David Traum.
Efficient Language Independent Generation from Lexical Conceptual Structure.
Technical Report LAMP-TR-074, CS-TR-4262, UMIACS-TR-2001-43, University of Maryland, College Park, Maryland, 2001.link
OxyGen: A Language Independent Linearization Engine.
In AMTA, pages 68--79, 2000.link
A reference manual to the linearization engine oxyGen.
Technical report, University of Maryland, College Park, Maryland, 2001.link
Nizar Habash and Bonnie J. Dorr.
Large Scale Language Independent Generation: Using Thematic Hierarchies.
In Proceedings of the MT-Summit, Santiago, Spain, 2001.link
Information last updated: 22.12.2002 (dd.mm.yy)
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