A procedure for unsupervised lexicon learning

Computer Science – Computation and Language

Scientific paper

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Expanded version of this paper appears in Computational Linguistics 27(3)

Scientific paper

We describe an incremental unsupervised procedure to learn words from
transcribed continuous speech. The algorithm is based on a conservative and
traditional statistical model, and results of empirical tests show that it is
competitive with other algorithms that have been proposed recently for this
task.

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