I transcribed, translated, and subtitled an episode of the Chinese cartoon "Ming and King Cat" (小明和王猫). By using speech-to-text APIs, I reduced the transcription workload by approximately 40%. During the translation process, I encountered challenges with "untranslatable" content. While some nuances and subtle meanings may not be fully conveyed through translation, it is crucial for translators to strive to capture both the essence and the overall vibe of the original material.

In 2022, I worked as engineer in a student group. We tried to localize this video game into English. The process included text extraction, translation, text replacement, etc. I also tried to conncet the developers! However, due to font problems, we failed to localize it! But it is an interesting start! Click the button to learn more about the game!

In 2022, I led a team of 5 students to internationalize a traditional Chinese cartoon into English, including translation, dubbing, recomposition and voiceover! All the sound effects and background music are recomposed using Adobe Audition! Other tools used are PR, Arctime, and Python. Why not have a 5-min rest and have some fun?

In 2020, I led a team to shoot a promotional video for our BA program (Translation and Localization), which is the final project for one of our courses! We scratched from 0 - conceiving, shooting, editing, dubbing, etc. I conceived this video, and shoot some scenes, and used Adobe AE to create a fancy opening. The rest of the video is edited by Adobe PR. It's a fabulous one!

I was a internship in the L10N team. I

Cooperated with PM, RD, PR and legal team to ensure the multilingual texts on our products are in high quality.

Performed quality check for Chinese and English texts.

Managed 200+ projects in 4 months and never delayed!

Verified and updated terms in a bi-week basis.

This internship got me understand the process of localization from the client's side! I learned more about how to localize products and the functions each role play in a big team - see this flowchart for a reflective graphic design for the L10N process.

I interned as a Localization Project Manager in one of the biggest LSPs in China, where I:

Managed different kinds of translation tasks based on the team's schedule.

Managed 4 different language pairs at the same time.

Maintained a close relationship with other vendors.

Performed final LQA tasks based on the clients' requirements.

This experience allowed me learn more about project and vendor management, as well as quality assurance from the vendor's side. I also developed an Auto-PO-Generation tool with Python for the team to automate this boring and repetitive process.

This freelance job is to support on the Google Data Services Projects by annotating data. I applied for the job because it's flexible and I'd love to learn the workflow of RWS.

I worked as an advertisement quality rater (freelancer) for Welocalize when I was a sophomore - just to learn how big company in the localization industry works. As a cloudresource, I received training, passed test, started working and created invoice.

This experience is more about SLA teaching - to teach Chinese kids learn English and improve their pronunciation. I learnt teaching techniques and patterns of SLA learning for children.

This is my first time to conduct a research on my own - it's naive and has many deficiencies. For example, the tools for analyzing Chinese and English use different algorithms, so the result can be inaccurate unless I develop a tool on my own; also, the nuances of translation are hard to obeserve using programs unless I train a language model. In short, I used Python and many other nltk tools to delve into the features of human translation and machine translation. Why not take a quick look?