Owing to the problem of insufficient
<term>
training data
</term>
and
<term>
approximation error
</term>
introduced by the
<term>
language model
</term>
, traditional
<term>
statistical approaches
</term>
, which resolve
<term>
ambiguities
</term>
by indirectly and implicitly using
<term>
maximum likelihood method
</term>
, fail to achieve high performance in real applications .
#22815Owing to the problem of insufficient training data and approximation error introduced by the language model, traditional statistical approaches, which resolve ambiguities by indirectly and implicitly using maximum likelihood method, fail to achieve high performance in real applications.
other,9-3-C92-1055,ak
The proposed method remedies these problems by adjusting the
<term>
parameters
</term>
to maximize the
<term>
accuracy rate
</term>
directly .
#22843The proposed method remedies these problems by adjusting the parameters to maximize the accuracy rate directly.
