This paper presents the notion of error-tolerant recognition with finite-state recognizers along with results from some applications. Error-tolerant recognition enables the recognition of strings that deviate mildly from any string in the regular set recognized by the underlying finite-state recognizer. Such recognition has applications to error-tolerant morphological processing, spelling corre...

aphids are among important agricultural pests. the pest's evolutionary tendency towards a loss of taxonomically useful characteristics, as well as morphological plasticity due to host type and as a result of environmental factors, make a morphological identification of aphids difficult, whereas exact identification is indispensable for managment of these pests. thus, modern identification ...

A new tightly coupled speech and natural language integration model is presented for a TDNN-based continuous possibly large vocabulary speech recognition system for Korean. Unlike popular n-best techniques developed for integrating mainly HMM-based speech recognition and natural language processing in a word level, which is obviously inadequate for morphologically complex agglutinative language...

Fingerprint recognition is basic method used for identification in biometric system. Now days as collections of fingerprints is increasing day by day then the technique also available in market to face problems. There are many techniques available that are used for recognition of fingerprints. There are some kinds of restrictions on degree of freedom with some unacceptable error rates. In this ...

Evidence of morphological processing was investigated in three word recognition tasks. In the first study, phonological ambiguity of the base morpheme in morphologically complex words of Serbo-Croatian was exploited in order to evaluate the claim that the base morpheme serves as the unit by which entries in the lexicon are accessed. An interaction of base morpheme ambiguity and affix characteri...

A system for recognition and morphological classification of unknown words for German is described and evaluated. It takes raw text as input and outputs a list of the unknown nouns together with a hypothesis about their possible morphological class and stem. MorphoClass exploits global information (ending-guessing rules, maximum likelihood estimations, word frequency statistics), morphological ...

Most of the post-processing methods for character recognition rely on contextual information of character and word-fragment levels. However, due to linguistic characteristics of Korean, such low-level information alone is not sufficient for high-quality character-recognition applications, and we need much higher-level contextual information to improve the recognition results. This paper present...

The role of morphological, semantic, and form-based factors in the early stages of visual word recognition was investigated across different SOAs in a masked priming paradigm, focusing on English derivational morphology. In a first set of experiments, stimulus pairs co-varying in morphological decomposability and in semantic and orthographic relatedness were presented at three SOAs (36, 48, and...

We describe our partially completed work on a set of morphological algorithms for recognizing handwritten numerals. The basic morphological operations { dilation, erosion, opening and closing { are used to extract characteristic features of these characters and check for their appropriate topological con guration. The paper describes the key shape characterization for two groups containing a to...