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Automatic Word Spacing Using Probabilistic Models Based on Character n-grams
January/February 2007 (vol. 22 no. 1)
pp. 28-35
| ASCII Text | x | ||
| Do-Gil Lee, Hae-Chang Rim, Dongsuk Yook, "Automatic Word Spacing Using Probabilistic Models Based on Character n-grams," IEEE Intelligent Systems, vol. 22, no. 1, pp. 28-35, January/February, 2007. | |||
| BibTex | x | ||
| @article{ 10.1109/MIS.2007.4, author = {Do-Gil Lee and Hae-Chang Rim and Dongsuk Yook}, title = {Automatic Word Spacing Using Probabilistic Models Based on Character n-grams}, journal ={IEEE Intelligent Systems}, volume = {22}, number = {1}, issn = {1541-1672}, year = {2007}, pages = {28-35}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2007.4}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Intelligent Systems TI - Automatic Word Spacing Using Probabilistic Models Based on Character n-grams IS - 1 SN - 1541-1672 SP28 EP35 EPD - 28-35 A1 - Do-Gil Lee, A1 - Hae-Chang Rim, A1 - Dongsuk Yook, PY - 2007 KW - word spacing KW - probabilistic models KW - hidden Markov models KW - n-gram KW - machine learning VL - 22 JA - IEEE Intelligent Systems ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2007.4
Automatic word spacing decides the correct boundaries between words in a sentence. Word spacing is important in Korean, and word spacing errors are frequent. Several proposed probabilistic word-spacing models resolve problems with previous statistical approaches. These models regard automatic word spacing as a classification problem similar to part-of-speech tagging. By generalizing hidden Markov models, the models can consider a broader context and estimate more accurate probabilities. The authors tested these models under a wide range of conditions to compare them with the state of the art and performed detailed error analysis of them.
Index Terms:
word spacing, probabilistic models, hidden Markov models, n-gram, machine learning
Citation:
Do-Gil Lee, Hae-Chang Rim, Dongsuk Yook, "Automatic Word Spacing Using Probabilistic Models Based on Character n-grams," IEEE Intelligent Systems, vol. 22, no. 1, pp. 28-35, Jan.-Feb. 2007, doi:10.1109/MIS.2007.4
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