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{\Large Abstract}
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There are four major components in this research project: research
infrastructure construction, noise-robust automatic speech recognition (ASR),
intelligent linguistic
agent, and system integration.  These components will be integrated in
a system to be embedded in a cellphone for inputting short
messages.  The main subject language in this project is Mandarin,
although there are certain cases where we will consider the inclusion
of Taiwanese and English.

In the ASR front-end, we will consider idiosyncratic properties of
Mandarin for feature design and noise-robustness. In the ASR back-end,
we will use the paradigm of hidden Markov models with Gaussian mixture
emitting density, and investigate different sizes of the modeling units.

In the linguistic agent research, we will use the Shannon game to
estimate the entropy of short messages for the design of several
crucial parameters in the system. Once a general system is designed
and built, we will try methods for further customizing the agent to
specific users by using user-specific data such as recently composed
messages.

In system integration, we will look into the methods for combining the
probability scores of the recognizer and the agent. In addition, we
need a robust system manager to ensure that the user's intention is
fulfilled. We also need to investigate the effects on the system
performance when the dimension of the feature vector or the decoding 
complexity is reduced. This is necessary as the computational resource
in tightly constrained in the scenarios we are considering.

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