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Physical Sciences and Mathematics Commons

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Full-Text Articles in Physical Sciences and Mathematics

Printing 3d Models For Chemistry: A Step-By-Step Open-Source Guide For Hobbyists, Corporate Professionals, And Educators And Students In K-12 And Higher Education, Elisabeth Grace Billman-Benveniste, Jacob Franz, Loredana Valenzano-Slough Sep 2019

Printing 3d Models For Chemistry: A Step-By-Step Open-Source Guide For Hobbyists, Corporate Professionals, And Educators And Students In K-12 And Higher Education, Elisabeth Grace Billman-Benveniste, Jacob Franz, Loredana Valenzano-Slough

Open Access Books

3D-printing is a relatively inexpensive additive manufacturing method used to create tangible objects. As a relatively new technology, the true capability of 3D-printing has not yet been fully exploited, especially in academic and research/teaching settings. Through this work, 3D-printing in a classroom and research environment is employed as a tool for creation of fully customizable, three-dimensional molecular models and for the visualization of theoretical abstract concepts.


Dataset 1: Mobile Text Dataset, Keith Vertanen, Per Ola Kristensson Jan 2019

Dataset 1: Mobile Text Dataset, Keith Vertanen, Per Ola Kristensson

Mobile Text Dataset and Language Models

This zip file contains the sentences mined from public web forums and blogs. Additional details about the dataset:

  • The data is split into training, development, and test sets based on the original domain name the text was mined from.
  • The sent_*.txt files are tab-delimited and contain one sentence parsed from a particular post. Each line contains the device name, forum software, device form factor (tablet or phone), and device input (touch or touch+key) associated with the post it was obtained from.
  • The set's subdirectory contains the groupings used in Section 2.
  • 64K word list (used in the paper), 5K and …


Investigating Speech Recognition For Improving Predictive Aac, Keith Vertanen Jan 2019

Investigating Speech Recognition For Improving Predictive Aac, Keith Vertanen

Data Files

This data was used in support of the following paper:

Adhikary, J., Watling, R., Fletcher, C., Stanage, A., & Vertanen, K. (2019). Investigating Speech Recognition for Improving Predictive AAC. SLPAT '19: Proceedings of the Workshop on Speech and Language Processing for Assistive Technologies. 37-43. Minneapolis, MN. https://digitalcommons.mtu.edu/cs_fp/16