For Graduate Students - Non-UW Resources

Professional Organizations

• Linguistic Society of America (the department will cover your membership! Depending on availability and funding, of course)
• Linguist List
• Acoustical Society of America
• International Phonetic Association
• Association for Laboratory Phonology
• Slavic Linguistics Society
• Generative Linguistics in the Old World
• The Society for the Study of the Indigenous Languages of the Americas
• Association for Computational Linguistics
• International Speech Communication Association
• IEEE Signal Processing Society and Speech and Language Technical Committee
• American Association for Applied Linguistics
• International Gender and Language Association
• American Dialect Society
• Society of Caribbean Linguistics
• Society for Pidgin and Creole Linguistics

Citation Tools (not an exhaustive list)

• Library guide on citation management software
• Web of Science(restricted to peer reviewed journal articles and books)
• Google Scholar(promiscuous citation index - not restricted)
• Often a UW Libraries search will be sufficient.

General Linguistics Resources

• All Things Linguistic- a regular blog and veritable rabbit hole of linguistic resources, including teaching materials, slides, activities, videos.
• LingAlert- subscribe for conference announcements (a leaner, sparser version of LINGUIST List).
• Lingbuzz- unpublished manuscripts, sometimes very provocative new research
• Rutgers Optimality Archive (ROA) - similar to Lingbuzz, but research in OT only (and not just phonology)
• UNC page on conferences- very important to read and reference: not all conferences were created equal.
• LINGUIST List- still the best resource for conferences and job postings in Linguistics.
• PHOIBLE- a repository of cross-linguistic phonological inventory data.
• WALS - World Atlas of Linguistic Structure. Go-to for cool maps showing distribution of language features.
• Famous linguists’ blogs: Language Log; David Adger, Norbert Hornstein, Arnold Zwicky, Kai von Fintel
• Every linguist should email Noam Chomsky at least once.
• TROLLing- The Tromsø Repository of Language and Linguistics: an open access archive of linguistic data and code (intro video)

Corpora

UW has access to many corpora:

• BYU Corpora - includes COCA, and a dozen other easily-searchable English and Spanish corpora with historical, genre, domain information etc.
• Quranic Arabic Treebank- entire Quran (beautifully) treebanked in dependency grammar.
• UCLA’s Voice Project- recordings and corresponding text grids for languages with various types of voice quality.

Software

• Drawing trees: Treeform (WYSIWYG/drag-n-drop), phpSyntaxTree (easy bracket notation)
• Parsers: Minimalist Machine (parser for minimalist syntax), XLFG parser
• English Resource Grammar demo
• DELPH-IN parsers & grammars
• Semantics: The Lambda Calculator(fun! Play with predicate calculus derivations when you take Semantics 2!)
• Recruiting: Mechanical Turk guide (resources within)

LaTeX

• Wikibooks page is excellent with lots of snippets
• The classic Essex guide
• LSA page of LaTeX for linguistics
• Detexify- handwrite a symbol, get the LaTeX code! Handy for IPA!
• Dynamic OT Tableau generator
• UW Dissertation LaTeX template
• Brent’s LaTeX tutorials

Deep Learning tutorials and resources

• CS224 Language Processing with Deep Learning for CS224 Language Processing with Deep Learning at Stanford. 
• LSTM by Example using TensorFlow (Towards Datascience)
• Recurrent Neural Networks in Tensorflow II (R2RT)
• RNNs in Tensorflow, a Practical Guide and Undocumented Features
• Aymericdamien's Tensorflow-Examples Github
• Advanced dynamic seq2seq with TensorFlow
• A quick tutorial to Tensorflow
• Epochs vs. Batch Size vs. Iterations 
• Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data
• The Goodfellow, Bengio, and Courville textbook on deep learning is available for free
• For more hands-on resources, comis a nice blog that has sample code for deep learning, mostly with Keras
• Embed, encode, attend, predict: The new deep learning formula for state-of-the-art NLP models
• A Neural Probabilistic Language Model
• Convolutional Neural Networks for Sentence Classification
• Recurrent Neural Network Grammars
• A Primer on Neural Network Models for Natural Language Processing
• The Unreasonable Effectiveness of Recurrent Neural Networks
• Deep Learning for NLP with Pytorch
• ML in NLP blogs:
  • Word Embeddings - http://ruder.io/word-embeddings-1/  (The author has made an entire 4-5 blog series)
  • Transfer Learning - http://ruder.io/learning-select-data/
  • Deep Learning in NLP  - http://ruder.io/deep-learning-nlp-best-practices/
  • Multi-Task Learning - http://ruder.io/multi-task/  
  • Optimization and Gradient Descent - http://ruder.io/optimizing-gradient-descent/
  • Another excellent site with easier to understand blogs - http://www.wildml.com/
  • Reinforcement Learning - https://deeplearning4j.org/
  • Excellent from scratch MOOC - http://www.fast.ai/

Just for fun...

• Linguistics Paper Bot on Twitter
• SpecGram- “The Onion” of linguistics
• #Whatshouldwecalllinguistics
• The Cats of UW Linguistics
• Bad Conlang Ideas