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An improved Bayesian TRIE based model for SMS text normalization ...
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Abstract:
Normalization of SMS text, commonly known as texting language, is being pursued for more than a decade. A probabilistic approach based on the Trie data structure was proposed in literature which was found to be better performing than HMM based approaches proposed earlier in predicting the correct alternative for an out-of-lexicon word. However, success of the Trie based approach depends largely on how correctly the underlying probabilities of word occurrences are estimated. In this work we propose a structural modification to the existing Trie-based model along with a novel training algorithm and probability generation scheme. We prove two theorems on statistical properties of the proposed Trie and use them to claim that is an unbiased and consistent estimator of the occurrence probabilities of the words. We further fuse our model into the paradigm of noisy channel based error correction and provide a heuristic to go beyond a Damerau Levenshtein distance of one. We also run simulations to support our claims ... : 7 pages, 8 figures, under review at Pattern Recognition Letters ...
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Keyword:
Computation and Language cs.CL; Data Structures and Algorithms cs.DS; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2008.01297 https://arxiv.org/abs/2008.01297
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Matroids Hitting Sets and Unsupervised Dependency Grammar Induction ...
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A polynomial time algorithm for the Lambek calculus with brackets of bounded order ...
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Tuned and GPU-accelerated parallel data mining from comparable corpora ...
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Implementation of an Automatic Syllabic Division Algorithm from Speech Files in Portuguese Language ...
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Good parts first - a new algorithm for approximate search in lexica and string databases ...
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An Object-Oriented and Fast Lexicon for Semantic Generation ...
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A Straightforward Approach to Morphological Analysis and Synthesis ...
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A Formal Framework for Linguistic Annotation (revised version) ...
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