morphologywithout

Morphologywithout is a term used in linguistics and computational linguistics to describe an approach to studying word formation that minimizes or rejects explicit morpheme segmentation. Rather than cataloguing morphemes and rules, morphologywithout emphasizes the continuous, context-driven properties of words and their forms.

Origin and scope: The term is not widely standardized; it appears in theoretical discussions and some experimental NLP literature as a label for non-morphemic analyses of morphology. It aligns with broader trends toward data-driven, corpus-based analyses that treat morphology as emergent from usage rather than a fixed inventory.

Conceptual framework: The approach often uses distributional information, phonotactics, orthography, and syntactic context to model word formation without discrete morpheme boundaries. It may employ character-level neural models, subword representations, or pattern-based learning to capture affixal and non-concatenative processes without explicit segmentation.

Methods and applications: In practice, morphologywithout underpins methods that learn morphological structure from large corpora without top-down annotation. It has been explored in language modeling, lemmatization, and machine translation, especially for languages with complex morphology or scarce linguistic resources.

Critique and reception: Critics argue that discarding explicit morpheme analysis can hinder linguistic interpretability and cross-linguistic comparability, while proponents claim it can better accommodate irregularities and zero morphemes and leverage modern statistical methods. Related concepts include nonconcatenative morphology, subword modeling, and distributed morphology.