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This paper argues in favor of a linguisticallyinformed error classification for SMT to identify system weaknesses and map them to possible syntactic, semantic and structural fixes. We propose a scheme which includes both linguistic-oriented error categories as well as SMT-oriented edit errors, and evaluate an English-Spanish system and an English Basque system developed for a Q&A scenario in the IT domain. The classification, in our use-scenario, reveals great potential for fixes from lexical semantics techniques involving entity handling for IT-related names and user interface strings, word sense disambiguation for terminology, as well as argument structure for prepositions and syntactic parsing for various levels of reordering.

SMT error analysis and mapping to syntactic, semantic and structural fixes