With the rise of ChatGPT, for their Advanced Corpus Linguistics course, a group of MDS Computational Linguistics students wanted to develop a model that can distinguish between human text and A.I. generated text.
For their Advanced Corpus Linguistics project, a group of MDS Computational Linguistics students wanted to apply the Bechdel Test to the works of Jane Austen.
Looking for a way to improve the conjugation tool for nouns and verbs within various Indigenous languages, such as Ojibwe, CultureFoundry turned to a group of UBC Master of Data Science (MDS) Computational Linguistics students, who created an Ojibwe conjugator and API (Application Programming Interface) to tackle this task. This tool will allow language learners to smoothly and efficiently navigate the many possible forms each word can take, giving them greater authority and confidence in building their language skills.
The Canadian Campus of Wellbeing Survey (CCWS) wanted to explore the effects of the pandemic on Canadian post-secondary students, in particular on vulnerable learning groups (e.g., learners with disabilities, and racialized learners). The CCWS teamed up with a group of UBC Master of Data Science (MDS) Vancouver students to explore the impact of the pandemic on students’ mental well-being.
Sitewise Analytics, a Software-as-a-Service company, specializing in developing site forecast models, sales impact assessments, and actionable market strategy plans for leading restaurant, retail, real estate, and healthcare chains, partnered with Master of Data Science (MDS) Vancouver students to understand which specific factors drive success (and failure) for certain restaurant brands.
As part of their Advanced Corpus Linguistics project, four MDS Computational Linguistics students wanted to investigate the specific emotion in Goodreads book reviews.
For their Advanced Corpus Linguistics project, a group of MDS Computational Linguistics students decided to track all the spells mentioned in the Harry Potter book series.
A group of MDS Computational Linguistics alumni contributed to an article that centered around automatic speech recognition for non-native English with transfer learning.
In the past, Statistics Canada developed network accessibility measures based on the distance of driving and walking to compute proximity scores for various types of amenities. However, the importance of public transit as a primary mode of travel has not been included and accessibility measures based on time using transit have never been incorporated into proximity scores.
The Canadian Campus of Wellbeing Survey (CCWS) wanted to explore the effects of the pandemic on Canadian post-secondary students, in particular on vulnerable learning groups (e.g., learners with disabilities, and racialized learners). The CCWS teamed up with a group of UBC Master of Data Science (MDS) Vancouver students to explore the impact of the pandemic on students’ mental well-being.
Sitewise Analytics, a Software-as-a-Service company, specializing in developing site forecast models, sales impact assessments, and actionable market strategy plans for leading restaurant, retail, real estate, and healthcare chains, partnered with Master of Data Science (MDS) Vancouver students to understand which specific factors drive success (and failure) for certain restaurant brands.
In partnership with the Animal Welfare Program at the UBC Faculty of Land and Food Systems, a group of MDS Vancouver alumni created a visualization dashboard to monitor the feeding, drinking and social behaviours of dairy cattle. Accurately visualizing and monitoring aids with the early detection of health problems and improves cattle welfare.
A group of UBC MDS Vancouver students were asked by a global, private investment firm to answer a single question for their capstone project—could they detect deception in earnings calls using data science? After establishing a meaningful proxy for deception, engineering linguistics features to map deception, evaluating their worth, and identifying anomalies, the team supplied the firm with a reproducible report to build upon.
Together with the BC Centre on Substance Use (BCCSU), students from UBC’s MDS Vancouver program developed an interactive DrugSense dashboard interface for the BCCSU’s website. The goal of the project was to give those who use drug-checking services a way to visualize and explore key trends and statistics related to specific drugs and an ever-changing and unregulated drug market, while providing opportunities to learn more.
Working with the Vancouver Whitecaps, Vancouver’s professional Major League Soccer team, a group of UBC MDS Vancouver students analyzed players physical performance to build a model for player fatigue and fitness. The students developed a data pipeline which can help the Whitecaps analyze and understand training loads for each session and closely examine the players' physical outputs during training sessions and matches.
A team of UBC MDS Vancouver students worked with Biba, a smart playground company, to build several learning models in order to estimate the number of monthly sessions at particular playgrounds within a given month. Data was collected from 2506 playgrounds across the US to help understand how playgrounds are being used in order for park managers to make meaningful decisions regarding the management of existing playgrounds and the planning of new playgrounds.
In partnership with Urban Logiq, an organization that helps governments worldwide make faster, cheaper and more accurate decisions with their data, a group of MDS Vancouver students collected data from GPS-enabled vehicles in a specific city of interest and created two sets of visualization tools, which they used to help answer two questions: How far does someone need to travel to reach an amenity? And are certain nearby amenities being bypassed in favour of others?
Working with E-Comm 9-1-1—a multi-municipality emergency communications agency serving British Columbia—UBC Master of Data Science students looked at how the agency’s existing data could be used to create call-taking and dispatch schedules that would correspond with shifting call volumes based on time of day, day of week, and holidays or special events throughout the year.
In partnership with QxMD—a Vancouver-based digital learning technology company—students from UBC’s Master of Data Science program created a tool to identify trending health topics within news articles and match these with relevant medical journal articles. Thus helping medical professionals better serve patients with questions related to specific news articles they’ve read.
In the past, Statistics Canada developed network accessibility measures based on the distance of driving and walking to compute proximity scores for various types of amenities. However, the importance of public transit as a primary mode of travel has not been included and accessibility measures based on time using transit have never been incorporated into proximity scores.
With more and more primary care physicians using electronic medical records (EMR), extracting insights from it to improve patient care is complex. That is why JustPractice, a BC company using high quality EMR data analysis to help physicians manage their patients, enlisted the help of students from the UBC’s Master of Data Science Okanagan program, to improve the identification of patient care gaps through the analysis of EMR data.
Agri-Food Canada enlisted the help of a team of students from the University of British Columbia’s Master of Data Science Okanagan program to help AAFC improve the overall efficiency of the tree fruit breeding process by providing unbiased and precise data on sweet cherry traits in an expedited fashion, while avoiding cost arising from unproductive procedures and human errors.
In partnership with Statistics Canada, students of UBC’s Master of Data Science Okanagan program used clustering methods, principal component analysis and principal component regression to provide greater insight into the spread of COVID-19 among of long-term care homes. The project showcased how leveraging various open data sources can produce comprehensive and meaningful results.
In partnership with the City of Kelowna, students of UBC’s Master of Data Science Okanagan program trained machines to uncover trends and insights into the community’s cultural needs. The knowledge gained not only helped inform the City’s Cultural Plan, it helped the local government connect in a real way with its citizens.
With the rise of ChatGPT, for their Advanced Corpus Linguistics course, a group of MDS Computational Linguistics students wanted to develop a model that can distinguish between human text and A.I. generated text.
For their Advanced Corpus Linguistics project, a group of MDS Computational Linguistics students wanted to apply the Bechdel Test to the works of Jane Austen.
Looking for a way to improve the conjugation tool for nouns and verbs within various Indigenous languages, such as Ojibwe, CultureFoundry turned to a group of UBC Master of Data Science (MDS) Computational Linguistics students, who created an Ojibwe conjugator and API (Application Programming Interface) to tackle this task. This tool will allow language learners to smoothly and efficiently navigate the many possible forms each word can take, giving them greater authority and confidence in building their language skills.
As part of their Advanced Corpus Linguistics project, four MDS Computational Linguistics students wanted to investigate the specific emotion in Goodreads book reviews.
For their Advanced Corpus Linguistics project, a group of MDS Computational Linguistics students decided to track all the spells mentioned in the Harry Potter book series.
A group of MDS Computational Linguistics alumni contributed to an article that centered around automatic speech recognition for non-native English with transfer learning.
During his time at Bethesda, Maryland-based National Institutes of Health, Nicholas Sanders, MDS Computational Linguistics Alumnus, Class of 2021, worked on a model deployed on an internal NIH website for staff to input a given grant application and receive PAC/PO recommendations.
Working with Seattle-based AI start-up, Seasalt.ai, students from UBC’s Master of Data Science in Computational Linguistics program created a universal NER (Named Entity Recognition) system that applied transfer learning from high-resource language datasets to low-resource languages. This allowed crucial information to be extracted from previously underrepresented languages, like Indonesian, Javanese, Malay, Vietnamese, Tagalog, Croatian, and Czech, for use across a variety of Natural Language Processing tasks.
As a result of a question posed by UBC Linguistics and French, Hispanic, and Italian Studies faculty, a group of UBC MDS Computational Linguistics students embarked on the first phase of a project that could improve graded readers for any language. The capstone project focused on A1, A2, and B level documents for the Spanish language, but it laid the foundation for the creation of a universal reader.
Ilana Zimmerman, MDS Computational Linguistics Alumna (Class of 2020) was tasked to create a search engine based on two transformer models in her role as a Natural Language Processing Engineer with ALEX - Alternative Experts. ALEX is an ISO 9001:2015-certified solutions provider to Government, Defense, and Commercial contracts, based in Washington, DC.
