Graduate Project Seminar on
Machine Translation and Language Modeling
Class: Room 2.11, building C7.1
Fridays 12-14 (s.t.)
Starts April 21, 2017
In this project seminar we will work to identify a project in machine translation, language modeling, and/or NLP,
make a novel contribution,
compare experimental results of the new method with the existing baseline,
and discuss the results.
It'll be fun.
- Course Organization
- Idea and Team Formation
- Team Roles:
- Model design and implementation: most team members should be involved with this to varying degrees
- Error analysis, visualization, examples, website
- Literature review
- Coordination and communication
- Due May 19th
- Include the following sections:
- Introduction, explaining what the topic is, what problem you're trying to solve (including examples), and previous works
- Methodology, listing the techniques/algorithms/models that you think you will use and/or develop. You can change this in the future. If known, briefly describe the implementation(s)
- Experiments, listing datasets, evaluation metrics, and how it will (or could) compare with previous works
- Who's doing what? The "Team Roles" section above might provide you with some ideas.
- Rough timeline
- You can change these things in the future. This proposal is mostly to get you and your group to think about the different parts of a successful research project.