My MA reports on the
influence that prosody of selected Polish
ambiguous utterances
may have on their interpretation and
translation into English.
A method for parametric description
of the pitch curves
coextensive with these utterances is discussed.
On the basis of the
pitch parameters obtained by the above method,
the classification of
the utterances is performed with respect to
their interpretation
and translation into English.
Three approaches to the
problem of classification are presented:
- Pattern Matching approach
in the form of the Dynamic Time Warping
algorithm and
Nearest Neighbourhood decision rule,
- the statistical approach
based on statistical Discriminant Functions
- neural approach in
the form of two types of artificial
Neural Network:
a single-cell perceptron and a feed-forward
neural network
with one hidden layer.
The Nearest Neighbour
classifier provides 66.7 - 79.5% correct
classification rate
depending on the disambiguated word,
Discriminant Analysis
performance ranged from 82.5 to 95% of
correct classifications,
and the neural approaches produced correct
classifications in 71.2
- 84.9% of cases. The applications of
the above findings in
Polish-English Spoken Language Translation,
Polish-English lexicography
and intonation teaching
are discussed and presented.
Download
Classification of Isolated Pitch Patterns by Means
of Nearest Neighbour Classifier, Neural Networks
and Discriminant Function, unpublished.
zipped .pdf file
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