Slideshare (6): Cross-lingual Paper reading notes

During this summer, I did a project on cross-lingual NLP tasks. Recently I was working my notes and I organized them into a better format. I would like to share some of the notes with the readers who might be interested in this topic.


Papers covered:


Prepare for the Interviews!

For the past few years after my Master’s, I did many jobs, long term, short term, internship, or full-time. I also had too many interviews, some of them I failed. Together with my friends, we had collected many materials, including basic algorithms, popular questions, basic machine learning knowledge, and deep learning knowledge. Then I organized them as one huge PDF (150+ pages).

A very brief outline:

  • Sorting
  • Data structure + popular questions
  • Machine Learning 
  • SoftDev interview questions

The material covers some screenshots from other people’s lectures and books. [Some slide pages are not in English! I am too lazy to translate them..]

I went through this PDF each time before there is an interview, in the case to answer questions like “what is knn”.   I hope you may find the material useful.  Download link:


Recently, I am working on a new version by adding more deep learning basics.


New items need to be updated: Merge sort; Sorting code in Python; Boyer-Moore Vote Algorithm.