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    <abstract>In this paper, we present the Thot toolkit, a set of tools to train phrase-based models for statistical machine translation, which is publicly available as open source software. The toolkit obtains phrase-based models from word-based alignment models; to our knowledge, this functionality has not been offered by any publicly available toolkit. The Thot toolkit also implements a new way for estimating phrase models, this allows to obtain more complete phrase models than the methods described in the literature, including a segmentation length submodel. The toolkit output can be given in different formats in order to be used by other statistical machine translation tools like Pharaoh, which is a beam search decoder for phrase-based alignment models which was used in order to perform translation experiments with the generated models. Additionally, the Thot toolkit can be used to obtain the best alignment between a sentence pair at phrase level.</abstract>
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%0 Conference Proceedings
%T Thot: a Toolkit To Train Phrase-based Statistical Translation Models
%A Ortiz-Martínez, Daniel
%A García-Varea, Ismael
%A Casacuberta, Francisco
%S Proceedings of Machine Translation Summit X: Papers
%D 2005
%8 sep 13 15
%C Phuket, Thailand
%F ortiz-martinez-etal-2005-thot
%X In this paper, we present the Thot toolkit, a set of tools to train phrase-based models for statistical machine translation, which is publicly available as open source software. The toolkit obtains phrase-based models from word-based alignment models; to our knowledge, this functionality has not been offered by any publicly available toolkit. The Thot toolkit also implements a new way for estimating phrase models, this allows to obtain more complete phrase models than the methods described in the literature, including a segmentation length submodel. The toolkit output can be given in different formats in order to be used by other statistical machine translation tools like Pharaoh, which is a beam search decoder for phrase-based alignment models which was used in order to perform translation experiments with the generated models. Additionally, the Thot toolkit can be used to obtain the best alignment between a sentence pair at phrase level.
%U https://aclanthology.org/2005.mtsummit-papers.19
%P 141-148

Markdown (Informal)

[Thot: a Toolkit To Train Phrase-based Statistical Translation Models](https://aclanthology.org/2005.mtsummit-papers.19) (Ortiz-Martínez et al., MTSummit 2005)

• Thot: a Toolkit To Train Phrase-based Statistical Translation Models (Ortiz-Martínez et al., MTSummit 2005)

ACL

• Daniel Ortiz-Martínez, Ismael García-Varea, and Francisco Casacuberta. 2005. Thot: a Toolkit To Train Phrase-based Statistical Translation Models. In Proceedings of Machine Translation Summit X: Papers, pages 141–148, Phuket, Thailand.