On the Transferability of Neural Models of Morphological Analogies

Analogical proportions are statements expressed in the form "A is to B as C is to D" and are used for several reasoning and classification tasks in artificial intelligence and natural language processing (NLP). In this paper, we focus on morphological tasks and we propose a deep learning approach to detect morphological analogies. We present an empirical study to see how our framework transfers…

Paper

Similar papers

© 2026 NYSGPT2525 LLC