Linguistic Structure as Composition and Perturbation

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dc.creatorde Marcken, Carl
dc.date1996-06-21
dc.date.accessioned2026-07-07T09:10:25Z
dc.date.available2026-07-07T09:10:25Z
dc.descriptionThis paper discusses the problem of learning language from unprocessed text and speech signals, concentrating on the problem of learning a lexicon. In particular, it argues for a representation of language in which linguistic parameters like words are built by perturbing a composition of existing parameters. The power of this representation is demonstrated by several examples in text segmentation and compression, acquisition of a lexicon from raw speech, and the acquisition of mappings between text and artificial representations of meaning.
dc.description7 pages
dc.identifierhttps://arxiv.org/abs/cmp-lg/9606027
dc.identifierhttp://arxiv.org/abs/cmp-lg/9606027
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151346
dc.subjectComputation and Language
dc.titleLinguistic Structure as Composition and Perturbation
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