The double metaphone search algorithm

By L. Philips. 2000

369 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7f905187eb6a462b3fb3c287850e0d24cfa7f799

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Citations in the corpus

Dealing with Input Noise in Statistical Machine Translation (2012, methodology): “…to Deorowicz and Ciura (2005), misspelling correction methods can be separated as isolated-word error detection-correction methods (Damerau, 1964; Philips, 2000; Toutanova and Moore, 2002), where isolated words are processed independently of their context and context-dependent error…”
Data Matching (2012, background): “The Double-Metaphone algorithm attempts to accomplish this by better accounting for European and Asian names [211].”
Improving the Study of Campaign Contributors with Record Linkage (2010, methodology): “Common phonetic algorithms include Soundex (Zobel and Dart 1995), Phonex (Lait and Randell 1993), Phonix (Gadd 1990), and Double-metaphone (Philips 2000).”
A Comparison of Personal Name Matching: Techniques and Practical Issues (2006, background): “Double-Metaphone [22] aims to better account for non-English words, like European and Asian names.”
Lexical Normalisation of Short Text Messages: Makn Sens a #twitter (2011, methodology): “Third, the double metaphone algorithm (Philips, 2000) is used to decode the pronunciation of all IV words, and IV words within a threshold T p edit distance of the given OOV word under phonemic transcription, are included in the confusion set; this allows us to capture OOV words such as earthquick…”
Neural Grammatical Error Correction Systems with Unsupervised Pre-training on Synthetic Data (2019, background): “Aspell sorts suggestion lists4 by a score that is the weighted average of the weighted edit distance of the proposed word to the input word and the distance between their phonetic equivalents generated by the metaphone algorithm (Philips, 2000).”
Duplicate Record Detection: A Survey (2007, methodology): “Double Metaphone [55] is a better version of Metaphone , improving some encoding choices made in the initial Metaphone and allowing multiple encodings for names that have various possible pronunciations.”
Unity in Diversity? How Intergroup Contact Can Foster Nation Building (2019, unknown): “Notes: This figure reports a semiparametric Robinson (1988) regression and 95 confidence intervals of the Inner-Island ethnic share in 2000 (based on the Population Census) on (a) the linguistic similarity between the Inner-Island ethnic population and the indigenous Outer-Island group according to ”
DKPro Similarity: An Open Source Framework for Text Similarity (2013, methodology): “It therefore contains implementations of well-known phonetic algorithms such as Double Metaphone (Philips, 2000) and Soundex (Knuth, 1973), which also conform to the common text similarity interface.”