@inproceedings{supnithi-etal-2010-autotagtcg,
title = "{A}uto{T}ag{TCG} : A Framework for Automatic {T}hai {CG} Tagging",
author = "Supnithi, Thepchai and
Ruangrajitpakorn, Taneth and
Trakultaweekool, Kanokorn and
Porkaew, Peerachet",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Rosner, Mike and
Tapias, Daniel",
booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10)",
month = may,
year = "2010",
address = "Valletta, Malta",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2010/pdf/868_Paper.pdf",
abstract = "This paper aims to develop a framework for automatic CG tagging. We investigated two main algorithms, CRF and Statistical alignment model based on information theory (SAM). We found that SAM gives the best results both in word level and sentence level. We got the accuracy 89.25{\%} in word level and 82.49{\%} in sentence level. Combining both methods can be suited for both known and unknown word.",
}
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%0 Conference Proceedings
%T AutoTagTCG : A Framework for Automatic Thai CG Tagging
%A Supnithi, Thepchai
%A Ruangrajitpakorn, Taneth
%A Trakultaweekool, Kanokorn
%A Porkaew, Peerachet
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Rosner, Mike
%Y Tapias, Daniel
%S Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10)
%D 2010
%8 May
%I European Language Resources Association (ELRA)
%C Valletta, Malta
%F supnithi-etal-2010-autotagtcg
%X This paper aims to develop a framework for automatic CG tagging. We investigated two main algorithms, CRF and Statistical alignment model based on information theory (SAM). We found that SAM gives the best results both in word level and sentence level. We got the accuracy 89.25% in word level and 82.49% in sentence level. Combining both methods can be suited for both known and unknown word.
%U http://www.lrec-conf.org/proceedings/lrec2010/pdf/868_Paper.pdf
Markdown (Informal)
[AutoTagTCG : A Framework for Automatic Thai CG Tagging](http://www.lrec-conf.org/proceedings/lrec2010/pdf/868_Paper.pdf) (Supnithi et al., LREC 2010)
ACL
- Thepchai Supnithi, Taneth Ruangrajitpakorn, Kanokorn Trakultaweekool, and Peerachet Porkaew. 2010. AutoTagTCG : A Framework for Automatic Thai CG Tagging. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), Valletta, Malta. European Language Resources Association (ELRA).