Download Ambiguity Resolution in Language Learning: Computational and by Hinrich Schütze PDF

By Hinrich Schütze

This quantity is worried with how ambiguity and ambiguity answer are discovered, that's, with the purchase of the various representations of ambiguous linguistic types and the information important for choosing between them in context. Schütze concentrates on how the purchase of ambiguity is feasible in precept and demonstrates that exact different types of algorithms and studying architectures (such as unsupervised clustering and neural networks) can prevail on the job. 3 kinds of lexical ambiguity are handled: ambiguity in syntactic categorisation, semantic categorisation, and verbal subcategorisation. the amount provides 3 varied types of ambiguity acquisition: Tag area, observe area, and Subcat Learner, and addresses the significance of ambiguity in linguistic illustration and its relevance for linguistic innateness.

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If an inference from nonoccurrence to ungrammaticality is possible here, then 6 The example sentences in (20) were found by searching a corpus of the New York Times using the command "grep 'if [a-z]*\,' ". " 24 / AMBIGUITY RESOLUTION IN LANGUAGE LEARNING why not in the case of the null-subject parameter? The justification of innate knowledge by Pinker and Lightfoot as a necessary remedy against lacking negative evidence applies to "because" as well as the null-subject parameter. I conclude that children can exploit implicit negative evidence in the form of nonoccurrence of forms and that innate knowledge is not necessary to make up for lacking negative evidence.

The experiments presented below will show that distributional part-ofspeech learning can be quite successful without astronomical requirements on space and time, showing these reservations about efficiency to be unjustified. The motivation for semantic bootstrapping is that, even if syntactic categories are innate, part-of-speech acquisition is by no means trivial. Words in parental speech do not come with a marker indicating which symbol in the child's mind they correspond to. In Tinker's theory, children know about semantic properties of certain syntactic categories (for instance the fact that verbs tend to encode actions) and use these as clues in linking words and syntactic structures to innate symbols.

All occurrences of a word are assigned to one class. As pointed out above, such a procedure is problematic for ambiguous words. 4 Induction Based on Word Type and Context In order to exploit contextual information in the classification of a token, I simply use context vectors of the two words occurring next to the token. An occurrence of word w is represented by a concatenation of four context vectors: • • • • The right context vector of the preceding word. The left context vector of w. The right context vector of w.

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