Integrating Syntactic and Prosodic Information for the Efficient Detection of Empty Categories
<|reference_start|>Integrating Syntactic and Prosodic Information for the Efficient Detection of Empty Categories: We describe a number of experiments that demonstrate the usefulness of prosodic information for a processing module which parses spoken utterances with a feature-based grammar employing empty categories. We show that by requiring certain prosodic properties from those positions in the input where the presence of an empty category has to be hypothesized, a derivation can be accomplished more efficiently. The approach has been implemented in the machine translation project VERBMOBIL and results in a significant reduction of the work-load for the parser.<|reference_end|>
@article{batliner1996integrating,
    title={Integrating Syntactic and Prosodic Information for the Efficient
  Detection of Empty Categories},
    author={Anton Batliner, Anke Feldhaus, Stefan Geissler, Andreas Kiessling,
  Tibor Kiss, Ralf Kompe, Elmar Noeth},
    journal={arXiv preprint arXiv:cmp-lg/9607004},
    year={1996},
    archivePrefix={arXiv},
    eprint={cmp-lg/9607004},
    primaryClass={cmp-lg cs.CL}
}