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4) It is possible to still do research if you leave academia. Industry research is geared to a product or client.
5) Continuing education: company’s education credits; company’s tuition assistance
(3/3) #linguistics#career@LingSocAm
During #LCL24, Laurel Sutton and Emily Pace lead a discussion about what kind of degree to pursue. Here are some key takeaways:
1) The more experience you build up the more flexible the requirements will be for you
(1/3) #linguistics#career
2) With a PhD in the job market: You have to come in willing to learn. You’ll fight against the perception of academic experts.
3) It is okay to change paths! You have to make the decision for yourself.
(2/3) #linguistics#career
- It is possible to still do research if you leave academia. Industry research is geared to a product or client.
- Continuing education: company’s education credits; company’s tuition assistance
(3/3) #linguistics#graduateschool#career
Laurel Sutton and Emily Pace lead a discussion about what kind of degree to pursue. Here are some key takeaways:
- The more experience you build up the more flexible the requirements will be for you
(1/3) #linguistics#graduateschool#career
- With a PhD in the job market: You have to come in willing to learn. You’ll fight against the perception of academic experts.
- It is okay to change paths! You have to make the decision for yourself.
(2/3) #linguistics#graduateschool#career
Dr. Nadja Ruhl guided us through a workshop using Crowdin, a tool for translation and localization. AI might impact the availability of work for translators, legal and medical translators are still in demand, since AI cannot provide reliable translation for highly specific terms.
Department can support students in exploring career opportunities:
1) Collect comprehensive employment outcomes by sector
2) Discuss outcome data in faculty meetings
3) Present data to current and prospective students
4) Connect your course learning goals with career paths
(end)
How could faculty empower linguistics students? @alexandrasaab Alex Johnston and Susan Steele suggested that faculty should be communicating the employment realities for LING PhDs seeking academic tenure-line jobs to students from Day One.
(1/n)
#linguistics#career#faculty
Faculty can help your studentsexplore all career possibilities:
(1) invite alumni back to talk about their careers in industry
(2) Help students build networks
(3) Include materials that pertain to industry in your syllabi (e.g., #LCL21 YT);
(4) Share industry resources
(2/n)
Reminder: There’s only one more day to submit your nomination for the Linguistics in Practice award. This award honors an individual linguist or a team that has had an influence or impact on culture or society. #LSA2025 https://t.co/2lrkAsS9SH
- We need linguistic informed overlays for LLM hallucinations, especially when we see the reamplification of biases in AI. Linguists can distinguish patterns of bias in the systems.
- Linguists have nuanced understandings of positionality that allow us to do DEI work
(3/3) #DEI
Victoria Hamilton, Mackenzie Price, Diana M. Jones and Suzanne Wertheim talked about how linguists contribute to Diversity, Equity, and Inclusion (DEI) Work.
- Linguistics intersects with the diverse perspectives we bring to our work
(1/3) #linguistics#DEI
- Linguists have an awareness of language, and the diversity of language
- Linguists are challenging the language distortions and stereotypes
(2/3) #linguistics#DEI
Linguistics in AI ethics:
- Discourse analysis brings an awareness of language, and how language perpetuate stereotypes
- Attention to detail in the language helps understand and present the contextual knowledge (e.g., person first vs. identity first)
(2/2) #linguistics#aiethics
Aubrie Amstutz, Patricia McDonough and Alfonso Sanchez-Moya highlighted the importance of AI ethics. Don’t miss out the resources document on the ethical use of AI: https://t.co/4luk9C3BPu
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- Consider job titles like Conversation Designer (UX role), Program Management
- Read the job ad: whether it talks extensively about libraries, specific coding skills you need to do
(3/3)
#linguistics#career#tech
Chris Stewart, Emma Manning and Nathan Eversole talked about career opportunities for quantitatively-inclined linguists:
- “Quantitative” means working with datasets and using a quantitative approach: knowing how to parse and analyze data
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- Focus on the skills you will need, like knowing regex and text annotation
- Python & SQL are more widely used than R nowadays
- Linguists contribute a lot to annotation (e.g., develope guidelines, create training data, evaluate outputs, classify language data)
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