A Structured Language Model

dc.creatorChelba, Ciprian
dc.date1998-11-13
dc.date2000-01-25
dc.date.accessioned2026-07-07T03:23:49Z
dc.date.available2026-07-07T03:23:49Z
dc.descriptionThe paper presents a language model that develops syntactic structure and uses it to extract meaningful information from the word history, thus enabling the use of long distance dependencies. The model assigns probability to every joint sequence of words - binary-parse-structure with headword annotation. The model, its probabilistic parametrization, and a set of experiments meant to evaluate its predictive power are presented.
dc.descriptionchanged ACM-class membership, Proceedings of ACL-EACL'97, Student Section, Madrid, Spain
dc.identifierhttps://arxiv.org/abs/cs/9811025
dc.identifierhttp://arxiv.org/abs/cs/9811025
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/33095
dc.subjectComputation and Language
dc.subjectG.3, I.2.7, I.5.1, I.5.4
dc.titleA Structured Language Model
dc.typetext

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