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Local Cohesive Knowledge for A Dialogue-machine Translation - aclweb

Local Cohesive Knowledge for A Dialogue-machine Translation - aclweb 2025

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The document discusses the development of a dialogue-machine translation system that utilizes 'local cohesive knowledge' to enhance contextual understanding in natural dialogues. It addresses challenges such as ellipses, anaphoras, and pro-forms that complicate sentence cohesion due to interruptions and disordered utterances. The authors propose a context processing mechanism that leverages this cohesive knowledge to interpret and manage contextual phenomena effectively, aiming to improve machine translation accuracy.

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Click 'Get Form' to open it in the editor.
Begin by reviewing the abstract section, which outlines the purpose of the document. Familiarize yourself with key terms such as 'cohesion' and 'contextual robustness'.
Move to the introduction section. Here, you will find essential background information on dialogue-machine translation systems. Take notes on any specific examples that resonate with your understanding.
In Section 3, focus on filling out details regarding 'local cohesive knowledge'. This section may require you to define constraints and provide examples based on your context.
Finally, review your entries for clarity and completeness before saving or exporting your filled form. Ensure all sections are addressed according to the guidelines provided in the document.

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