Language identification of on-line documents using word shapes

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http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.619852

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	N. Nobile, S. Bergler, C.Y. Suen, S. Khoury, "Language identification of on-line documents using word shapes," Document Analysis and Recognition, International Conference on, pp. 258, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997.

	BibTex	x
	@article{ 10.1109/ICDAR.1997.619852, author = {N. Nobile and S. Bergler and C.Y. Suen and S. Khoury}, title = {Language identification of on-line documents using word shapes}, journal ={Document Analysis and Recognition, International Conference on}, volume = {0}, year = {1997}, isbn = {0-8186-7898-4}, pages = {258}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.619852}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Document Analysis and Recognition, International Conference on TI - Language identification of on-line documents using word shapes SN - 0-8186-7898-4 SP EP A1 - N. Nobile, A1 - S. Bergler, A1 - C.Y. Suen, A1 - S. Khoury, PY - 1997 KW - identification; language identification; on-line documents; word shapes; coded characters; character classes; visual characteristics; word bigrams; word trigrams; linear score value combination; expert system; knowledge acquisition; on-line texts; rules; accuracy; stability; varied parameter settings VL - 0 JA - Document Analysis and Recognition, International Conference on ER -

N. Nobile, Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada

S. Bergler, Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada

C.Y. Suen, Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada

S. Khoury, Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada

The authors have extended existing methods to identify the language of an on-line document after the characters have been coded using 10 character classes based on visual characteristics. In particular, they exploit word bigrams and trigrams in both a linear combination of score values and an expert systems approach. Knowledge about each language as acquired from a large number of on-line texts. Using a small set of rules, the expert system outperforms the linear combination in accuracy and shows more stability when parameter settings are varied.

Index Terms:

identification; language identification; on-line documents; word shapes; coded characters; character classes; visual characteristics; word bigrams; word trigrams; linear score value combination; expert system; knowledge acquisition; on-line texts; rules; accuracy; stability; varied parameter settings

Citation:

N. Nobile, S. Bergler, C.Y. Suen, S. Khoury, "Language identification of on-line documents using word shapes," icdar, pp.258, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997

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