Applications of approximate word matching in information retrieval
By J. French, Allison L. Powell, E. Schulman. 1997
Subfields: Information Retrieval & Search
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Retrieval & Search
- Simon Lacoste-Julien
- Alex Davies
- Gjergji Kasneci
- Thore Graepel
- Zoubin Ghahramani
- Konstantina Palla
- Gerhard Weikum
- Fabian M. Suchanek
Citations in the corpus
- SIGMa: simple greedy matching for aligning large knowledge bases (2012, methodology): “ this measure is not robust to small typos or small changes of spelling of words. This problem could be addressed by using more involved string similarity measures such as approximate string matching [10,25], which handles both word corruption as well as word reordering, though our current implement”
- A guided tour to approximate string matching (2001, unknown): “Good references about the relation of approximate string matching and information retrieval are Wagner and Fisher [1974], Lowrance and Wagner [1975], Nesbit [1986], Owolabi and McGregor [1988], Kukich [1992], Zobel and Dart [1996], French et al. [1997], and BaezaYates and Ribeiro-Neto [1999].”