Linguistic Structure as Composition and Perturbation

Linguistic Structure as Composition and Perturbation
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作为组合和扰动的语言结构

DOI:
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发表时间:
1996
期刊:
Annual Meeting of the Association for Computational Linguistics
影响因子:
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通讯作者:
C. D. Marcken
C. D. Marcken
中科院分区:
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文献类型:
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作者:
C. D. Marcken

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本文讨论了从未经处理的文本和语音信号中学习语言的问题,重点讨论了学习词汇的问题。特别是,它认为语言的表示,其中语言参数,如单词是通过扰动现有参数的组成。在文本分割和压缩,从原始语音的词典的收购,和收购文本和人工表示的意义之间的映射的几个例子证明了表示的力量。
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 the 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.