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Most errors in Korean morphological analysis and part-of-speech (POS) tagging are caused by unknown morphemes. This paper presents a syllable-pattern-based generalized unknown-morpheme-estimation meth...
In this book Hunston and Francis describe an approach to lexical and grammatical description that was used to produce two remarkable Collins COBUILD reference works, Grammar Patterns 1: Verbs and Gram...
The disadvantage in producing the past tense of regular relative to irregular verbs shown by some patients with non-fluent aphasia has been alternatively attributed (a) to the failure of a specific ru...
Research on pattern perception and rule learning, grounded in formal language theory (FLT) and using artificial grammar learning paradigms, has exploded in the last decade. This approach marries empir...
We performed a resting-state functional connectivity study to investigate directly the functional correlations within the perisylvian language networks by seeding from 3 subregions of Broca’s complex ...
Towards Unsupervised Pattern Discovery in Speech.
Unsupervised Word Acquisition from Speech Using Pattern Discovery.
Unsupervised Pattern Discovery in Speech.
Gradient Steepness Metrics using Extended Baum-Welch Transformations for Universal Pattern Recognition Tasks.
Towards Multi-Speaker Unsupervised Speech Pattern Discovery.
A Computer-Assisted Pronunciation Training (CAPT) system can provide greater benefit to language learners if it provides not only scoring but also corrective feedback. However, the process of deriving...
In this paper, we explore the use of a Gaussian posteriorgram based representation for unsupervised discovery of speech patterns. Compared with our previous work, the new approach provides significant...
We present an unsupervised algorithm f or discovering acoustic patterns i n s peech by finding matching subsequences between pairs of utterances. T he approach we describe is, in theory, language and ...
Context-dependent Pronunciation Error Pattern Discovery with Limited Annotations.

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