Abstract
In several languages compound words form orthographic units, which complicates the task of ensuring good lexical coverage for large vocabulary continuous speech recognition (LVCSR). A common approach to the problem consists of first recognizing the compound constituents, followed by an automatic recompounding process. We describe an accurate compound module, which combines a rule-based approach with statistical pruning. The module is incorporated in a broadcast news recognition task for Dutch and yields an 11% relative decrease in word error rate (WER).
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