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.