Morphological Analysis with Pointwise Predictors

Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis

We present a pointwise approach to Japanese morphological analysis (MA) that ignores structure information during learning and tagging. Despite the lack of structure, it is able to outperform the current state-of-the-art structured approach for Japanese MA, and achieves accuracy similar to that of structured predictors using the same feature set. We also find that the method is both robust to o...

POINTWISE CONVERGENCE TOPOLOGY AND FUNCTION SPACES IN FUZZY ANALYSIS

We study the space of all continuous fuzzy-valued functions  from a space $X$ into the space of fuzzy numbers $(mathbb{E}sp{1},dsb{infty})$  endowed with the pointwise convergence topology.   Our results generalize the classical ones for  continuous real-valued functions.   The field of applications of this approach seems to be large, since the classical case  allows many known devices to be fi...

Endobronchial ultrasound: morphological predictors of benign disease

The objective of this study was to assess the utility of endobronchial ultrasound (EBUS) morphology of lymph nodes in predicting benign cytology of transbronchial needle aspirates in a prospective observational study. Five ultrasonic morphological characteristics of mediastinal and hilar lymph nodes were recorded: size, shape, margins, echogenic appearance and the presence of a central blood ve...

Asymptotically Pointwise Optimal Procedures in Sequential Analysis

Morphological Analysis

A computer program that is intended to carry out nontrivial operations on texts in an ordinary language must start by recognizing the words that the text is made up of. This is the procedure I call morphological analysis. It is necessary because the linguistically interesting properties of words cannot be discovered by examining the words themselves but are associated with them in an essentiall...