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    <abstract>This paper presents a source language diagnostic system for controlled translation. Diagnostics were designed and implemented to address the most difficult rewrites for authors, based on an empirical analysis of log files containing over 180,000 sentences. The design and implementation of the diagnostic system are presented, along with experimental results from an empirical evaluation of the completed system. We found that the diagnostic system can correctly identify the problem in 90.2% of the cases. In addition, depending on the type of grammar problem, the diagnostic system may offer a rewritten sentence. We found that 89.4% of the rewritten sentences were correctly rewritten. The results suggest that these methods could be used as the basis for an automatic rewriting system in the future.</abstract>
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%0 Conference Proceedings
%T Source language diagnostics for MT
%A Mitamura, Teruko
%A Baker, Kathryn
%A Svoboda, David
%A Nyberg, Eric
%S Proceedings of Machine Translation Summit IX: Papers
%D 2003
%8 sep 23 27
%C New Orleans, USA
%F mitamura-etal-2003-source
%X This paper presents a source language diagnostic system for controlled translation. Diagnostics were designed and implemented to address the most difficult rewrites for authors, based on an empirical analysis of log files containing over 180,000 sentences. The design and implementation of the diagnostic system are presented, along with experimental results from an empirical evaluation of the completed system. We found that the diagnostic system can correctly identify the problem in 90.2% of the cases. In addition, depending on the type of grammar problem, the diagnostic system may offer a rewritten sentence. We found that 89.4% of the rewritten sentences were correctly rewritten. The results suggest that these methods could be used as the basis for an automatic rewriting system in the future.
%U https://aclanthology.org/2003.mtsummit-papers.34

Markdown (Informal)

[Source language diagnostics for MT](https://aclanthology.org/2003.mtsummit-papers.34) (Mitamura et al., MTSummit 2003)

• Source language diagnostics for MT (Mitamura et al., MTSummit 2003)

ACL

• Teruko Mitamura, Kathryn Baker, David Svoboda, and Eric Nyberg. 2003. Source language diagnostics for MT. In Proceedings of Machine Translation Summit IX: Papers, New Orleans, USA.