We propose a novel phrase extraction system to generate a phrase dictionary for predictive input methods from a large corpus. This system extracts phrases after counting n-grams so that it can be easily maintained, tuned, and re-executed independently. We developed a rule-based filter based on part-of-speech (POS) patterns to extract Japanese phrases. Our experiment shows usefulness of our syst...

If natural language processing systems are ever to achieve natural, cooperative behavior, they must be able to process input that is i l l-formed lexically, syntactically, semantically, or pragmatically. Systems must be able to partially understand, or at least give specific, appropriate error messages, when input does not correspond to their model of language and of context. We propose meta-ru...

This paper originates the theory of buyer concentration for a main raw material input for a single processing industry. The Oligopsony concentration is obtained and subsequently decomposed into several factors, affecting indirectly the industry’s profitability. It is found that the leading firms’ efficiencies hypothesis is reaffirmed due to variations associated with the marginal productivity d...

In this paper we simplify the model of computation considered in [1], namely network of evolutionary picture processors, by moving the filters from the nodes to the edges. Each edge is now viewed as a twoway channel such that input and output filters, respectively, of the two nodes connected by the edge coincide. Thus, the possibility of controlling the computation in such networks seems to be ...

What is a statistical method and how can it be used in natural language processing (NLP)? In this paper, we start from a definition of NLP as concerned with the design and implementation of effective natural language input and output components for computational systems. We distinguish three kinds of methods that are relevant to this enterprise: application methods, acquisition methods, and eva...

Most existing theory re nement systems are not incremental. However, any theory re nement system whose input and output theories are compatible can be used to incrementally assimilate data into an evolving theory. This is done by continually feeding its revised theory back in as its input theory. An incremental batch approach, in which the system assimilates a batch of examples at each step, se...

A complete set of design equations is given for first-order and biquadratic transfer functions in the z-domain. These equations are derived directly from the firstand second-order transfer functions in tbe s-domain. Consequently no new approximation for a prewarped set of cutoff frequencies is required. A step-by-step design procedure for SC filters follows. The sampling-conditions for input an...

We present a novel method for controlling the complexity of real-time signal processing computational tasks, in order to make sure that a total quality metric for all the signal processing tasks is maximized. The method makes decisions about how much compute power is allocated to each task through past observations of the input and output data of each task. We present preliminary results from f...

Most existing theory re nement systems are not incremental. However, any theory re nement system whose input and output theories are compatible can be used to incrementally assimilate data into an evolving theory. This is done by continually feeding its revised theory back in as its input theory. An incremental batch approach, in which the system assimilates a batch of examples at each step, se...