Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Pawan Tamta"'
Autor:
Pawan Tamta, B. P. Pande
Publikováno v:
Vietnam Journal of Computer Science, Vol 7, Iss 2, Pp 129-144 (2020)
This work is an attempt to devise a Stemmer that can remove both prefix and suffix together from a given word in English language. For a given input word, our method considers all possible internal N-grams for detection of potential stems. We frame a
Externí odkaz:
https://doaj.org/article/fe8d16a901ab486da5b813401777be2b
Publikováno v:
Digital Scholarship in the Humanities. 34:558-568
A language-independent stemmer has always been looked for. Single N-gram tokenization technique works well; however, it often generates stems that start with intermediate characters, rather than initial ones. We present a novel technique that takes t
Publikováno v:
Glottotheory. 8
The present work is an attempt to develop a database of hedges to study the usage and effects of hedges in women writings.
Publikováno v:
International Journal of Applied Linguistics. 25:315-328
Suffix stripping is a problem of removing morphological suffixes from a word to get the stem. We present suffix stripping as an unconstrained optimization problem. Free from linguistic or morphological knowledge, a simple algorithm is being developed
Publikováno v:
International Journal of Applied Information Systems. 5:25-29
In the present work an attempt is being made to reduce the Maximum Flow Network Interdiction Problem (MFNIP) in to the Subset Sum Problem so as to get some algorithms solvable in polynomial time. Previously developed algorithms are either applicable
Publikováno v:
International Journal of Computer Applications. 42:16-19
an algorithm which reduces the arbitrary instance of the network flow problem to a simple path disjoint network in polynomial time. Then the flow in each path is taken as the minimum of the arc capacities of that path from where the flow in each arc
Publikováno v:
Glottotheory. 6
Stemming or suffix stripping, an important part of the modern Information Retrieval systems, is to find the root word (stem) out of a given cluster of words. Existing algorithms targeting this problem have been developed in a haphazard manner. In thi