Linguistic Structure as Composition and Perturbation
<|reference_start|>Linguistic Structure as Composition and Perturbation: This 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.<|reference_end|>
@article{de marcken1996linguistic,
    title={Linguistic Structure as Composition and Perturbation},
    author={Carl de Marcken (MIT Artificial Intelligence Lab.)},
    journal={arXiv preprint arXiv:cmp-lg/9606027},
    year={1996},
    archivePrefix={arXiv},
    eprint={cmp-lg/9606027},
    primaryClass={cmp-lg cs.CL}
}