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Conference Aug 2026

Construction of an automatic German inflection recognition model based on deep neural networks

This paper addresses the task of automatic identification of German word forms and constructs an end-to-end model framework based on deep neural networks that employs character-level and subword-level dual-channel feature representations, and combines encoder-decoder architecture, scaled dot-product attention, and positional encoding.

Bo Wang · 0 citations

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