Welcome! This is a HEART course designed to introduce freshmen to research in multilingual natural language processing. After completing the course, students should gain
- a high-level understanding of the field of NLP
- familiarity with standard NLP algorithms and techniques
- basic knowledge of linguistics, historical linguistics, machine translation, and multilingual techniques for NLP
Natural language processing is just what it sounds like: getting computers to process language. It's a combination of computer science, linguistics, and math. We will be talking about a variety of topics in NLP, with a focus on multilingual applications, including machine translation.
Spark NLP Cheat Sheet. Either create a conda env for python 3.6, install pyspark3.1.1 spark-nlp numpy and use Jupyter/python console. WAG Club Levels Routines 3-6: CHEAT SHEETS May 2015 Club 6 Club 6 may use the NLP set choreography OR optional choreography with set skills If compulsory choreography is performed it must follow text as written in manual If optional choreography is performed it must use set skills (order optional).Skills. Spark NLP Cheat Sheet. Either create a conda env for python 3.6, install pyspark3.1.1 spark-nlp numpy and use Jupyter/python console, or in the same conda env you can go to spark bin for pyspark –packages com.johnsnowlabs.nlp:spark-nlp2.12:3.0.2. Natural language processing: A cheat sheet. By Brandon Vigliarolo in Artificial Intelligence on July 10, 2020, 1:37 PM PST Learn the basics about natural language processing, a cross-discipline.
This class is supposed to have no prerequisites. However, programming is an essential part of NLP. We will be doing some light programming using Julia and Pluto notebooks. Don't worry if you don't know Julia! We'll be gradually introducing the language throughout the homeworks.
Logistics
Nlp Cheat Sheet Template
Time: Thursdays 5 - 6:15pm ET
Location: Zoom (check here)
Instructor: Winston Wu
Every week will have short homework assignments or readings. For a final project, you will design and run your own NLP experiment.
After every class, you will fill out a short survey. This will provide you the opportunity to give me feedback and suggestions for future lectures as well as help me guage how everyone is understanding the material.
Grading is S/U.
Schedule
| Date | Topic | Materials |
|---|---|---|
| 9/3 | Introduction and Language Modeling | Setup Language Modeling Links 123 |
| 9/10 | Whirlwind Tour of NLP | Julia Cheat Sheet Conditional Probability |
| 9/17 | Language and Linguistics | Language in 10 Assignment |
| 9/24 | Language in 10 presentations | |
| 10/1 | ML and Language ID | Language ID |
| 10/8 | Historical Linguistics | Phylogeny Homework |
| 10/15 | Word Embeddings | Embeddings Embedding Projector |
| 10/22 | Fall Break (no class) | |
| 10/29 | Phrase-Based Machine Translation | Interstellar First Contact MT Output Analysis Homework |
| 11/5 | Neural Machine Translation | Morphological Inflection Homework |
| 11/12 | Multilingual Word Embeddings | fastText |
| 11/19 | Multilinual/Low-Resource MT | M2M-100 |
| 12/3 | Project Presentations |
The schedule is flexible, so if there is any topic not on this list, or if there is a topic you want covered in more/less detail, let me know!
What's next?
Nlp Cheat Sheet Printable
This course is just a brief teaser into the humongous world of NLP! JHU has a ton of ML courses that you can take.