Morphological Inflection

Morphological inflection, the study of word formation through the addition of affixes, aims to understand how words change form to express grammatical features like tense or number. Current research focuses on developing computational models, primarily employing neural networks like LSTMs and Transformers, to analyze and generate inflected forms, often addressing challenges like data sparsity and out-of-vocabulary words across diverse languages. These advancements have implications for language technology applications such as machine translation and speech recognition, as well as providing insights into the cognitive processes underlying human language processing and the evolution of morphological systems.