Papers by Keshav Ramani

2 papers
Translating Domain-Specific Terminology in Typologically-Diverse Languages: A Study in Tax and Financial Education (2025.emnlp-main)

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Challenge: Existing public terminology datasets for MT research are limited in language coverage or domain specificity, making it difficult to assess or improve MT systems in specialized settings.
Approach: They propose a multilingual terminology resource for tax and financial education covering seven typologically diverse languages: English, Spanish, Russian, Vietnamese, Korean, Chinese (traditional and simplified) and Haitian Creole.
Outcome: The proposed terminology resource covers seven typologically diverse languages: English, Spanish, Russian, Vietnamese, Korean, Chinese (traditional and simplified) and Haitian Creole.
Advanced Messaging Platform (AMP): Pipeline for Automated Enterprise Email Processing (2025.acl-industry)

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Challenge: a lack of publicly available datasets for training and benchmarking limits current AI techniques' effectiveness in industry-specific applications.
Approach: They propose an email automation pipeline that automates email response generation at scale in real-world enterprise settings.
Outcome: The proposed pipeline automates email response generation at scale in real-world environments.

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