Head Automata for Speech Translation

dc.creatorAlshawi, Hiyan
dc.date1996-07-04
dc.date.accessioned2026-07-07T09:10:27Z
dc.date.available2026-07-07T09:10:27Z
dc.descriptionThis paper presents statistical language and translation models based on collections of small finite state machines we call ``head automata''. The models are intended to capture the lexical sensitivity of N-gram models and direct statistical translation models, while at the same time taking account of the hierarchical phrasal structure of language. Two types of head automata are defined: relational head automata suitable for translation by transfer of dependency trees, and head transducers suitable for direct recursive lexical translation.
dc.identifierhttps://arxiv.org/abs/cmp-lg/9607006
dc.identifierhttp://arxiv.org/abs/cmp-lg/9607006
dc.identifierProceedings of ICSLP 96, the Fourth International Conference on Spoken Language Processing, Philadelphia, Pennsylvania, 1996.
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151356
dc.subjectComputation and Language
dc.titleHead Automata for Speech Translation
dc.typetext

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