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A Machine Learning Approach to Evaluating Translation Quality

This paper explores the possibility of applying Machine Learning for Machine Translation evaluation.

Date: June 20, 2017

Creator: Reyes Ayala, Brenda & Chen, Jiangping

Item Type: Paper

Partner: UNT College of Information

A Machine Learning Approach to Evaluating Translation Quality

Poster presented at the 2017 ACM/IEEE-CS Joint Conference on Digital Libraries. explores the possibility of applying Machine Learning for Machine Translation evaluation.

Date: June 20, 2017

Creator: Reyes Ayala, Brenda & Chen, Jiangping

Item Type: Poster

Partner: UNT College of Information

open access

Communicating the risk of contracting Zika virus to low income underserved pregnant Latinas: A clinic-based study

Article is a study using cross-sectional methodology to investigate information sources and knowledge concerning the ZIKV virus among 300 under-served pregnant Latinas recruited from prenatal care clinics in the North Texas region. Bivariate and multiple logistic regression models are used to investigate associations between the primary outcomes and patient characteristics.

Date: November 20, 2020

Creator: Boyce, LeAnn & Ramisetty-Mikler, Suhasini

Item Type: Article

Partner: UNT College of Information

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A Machine Learning Approach to Evaluating Translation Quality

A Machine Learning Approach to Evaluating Translation Quality

Communicating the risk of contracting Zika virus to low income underserved pregnant Latinas: A clinic-based study