Head Automata for Speech Translation
<|reference_start|>Head Automata for Speech Translation: This 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.<|reference_end|>
@article{alshawi1996head,
    title={Head Automata for Speech Translation},
    author={Hiyan Alshawi (AT&T Research)},
    journal={Proceedings of ICSLP 96, the Fourth International Conference on
  Spoken Language Processing, Philadelphia, Pennsylvania, 1996.},
    year={1996},
    archivePrefix={arXiv},
    eprint={cmp-lg/9607006},
    primaryClass={cmp-lg cs.CL}
}