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• W2155539936 abstract "In many languages the use of compound words is very productive. A common practice to reduce sparsity consists in splitting compounds in the training data. When this is done, the system incurs the risk of translating components in non-consecutive positions, or in the wrong order. Furthermore, a post-processing step of compound merging is required to reconstruct compound words in the output. We present a method for increasing the chances that components that should be merged are translated into contiguous positions and in the right order. We also propose new heuristic methods for merging components that outperform all known methods, and a learning-based method that has similar accuracy as the heuristic method, is better at producing novel compounds, and can operate with no background linguistic resources." @default.
• W2155539936 created "2016-06-24" @default.
• W2155539936 creator A5004751764 @default.
• W2155539936 creator A5051985869 @default.
• W2155539936 date "2011-07-30" @default.
• W2155539936 modified "2023-09-26" @default.
• W2155539936 title "Productive Generation of Compound Words in Statistical Machine Translation" @default.
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