Modeling Complement Types in Phrase-Based SMT

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Abstract

We explore two approaches to model complement types (NPs and PPs) in an English-to-German SMT system: A simple abstract representation inserts pseudo-prepositions that mark the beginning of noun phrases, to improve the symmetry of source and target complement types, and to provide a flat structural information on phrase boundaries. An extension of this representation generates context-aware synthetic phrase-table entries conditioned on the source side, to model complement types in terms of grammatical case and preposition choice. Both the simple preposition-informed system and the context-aware system significantly improve over the baseline; and the context-aware system is slightly better than the system without context information.

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APA

Di Marco, M. W., Fraser, A., & Schulte im Walde, S. (2016). Modeling Complement Types in Phrase-Based SMT. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 1, pp. 43–53). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w16-2205

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