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CS224S _ LINGUIST285 - Spoken Language Processing (Spring 2017).html
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<title>CS224S / LINGUIST285 - Spoken Language Processing (Spring 2017)</title>
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<a href="http://nlp.stanford.edu/">
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<h1>CS224S / LINGUIST285 - Spoken Language Processing</h1>
<div style="clear:both;"></div>
</div>
<div id="teaser">
<img src="./CS224S _ LINGUIST285 - Spoken Language Processing (Spring 2017)_files/cs224s_wave.png">
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<h2>Course Description</h2>
<div id="coursedesc">
Introduction to spoken language technology with an
emphasis on dialogue and conversational systems. Automatic speech
recognition, speech synthesis, dialogue management, and applications
to digital assistants, search, and spoken language understanding
systems. Covers state-of-the-art approaches based on deep learning as
well as traditional methods.
Through lectures, programming assignments, and a course
project students will learn the concepts and application
details to build modern systems for spoken language processing.
<br>
<br>
<b>Please join us for the course final project poster session on Wednesday, June 7.
<a href="http://web.stanford.edu/class/cs224s/invitation.html"> Poster session details</a></b>
<br>
</div>
</div>
</div>
<div class="container sec">
<div class="row">
<div class="col-md-4">
<h2>Course Instructor</h2>
<div class="instructor">
<a href="http://ai.stanford.edu/~amaas/">
<div class="instructorphoto"><img src="./CS224S _ LINGUIST285 - Spoken Language Processing (Spring 2017)_files/amaas_headshot.jpg"></div>
<div>Andrew Maas</div>
</a>
</div>
</div>
<div class="col-md-8">
<h2>Teaching Assistants</h2>
<div class="instructor">
<a href="https://web.stanford.edu/~jiweil/">
<div class="instructorphoto"><img src="./CS224S _ LINGUIST285 - Spoken Language Processing (Spring 2017)_files/jiwei.png"></div>
<div>Jiwei Li (Head TA)</div>
</a>
</div>
<div class="instructor">
<div class="instructorphoto"><img src="./CS224S _ LINGUIST285 - Spoken Language Processing (Spring 2017)_files/rish.jpg"></div>
<div>Rish Bhargava</div>
</div>
<div class="instructor">
<div class="instructorphoto"><img src="./CS224S _ LINGUIST285 - Spoken Language Processing (Spring 2017)_files/pujun_bhatnagar.JPG"></div>
<div>Pujun Bhatnagar</div>
</div>
<div class="instructor">
<a href="https://www.linkedin.com/in/berk-coker/">
<div class="instructorphoto"><img src="./CS224S _ LINGUIST285 - Spoken Language Processing (Spring 2017)_files/berk.png"></div>
<div>Berk Coker</div>
</a>
</div>
<div class="instructor">
<a href="https://www.linkedin.com/in/raghav-gupta-59777b59/">
<div class="instructorphoto"><img src="./CS224S _ LINGUIST285 - Spoken Language Processing (Spring 2017)_files/raghav.jpg"></div>
<div>Raghav Gupta</div>
</a>
</div>
<div class="instructor">
<a href="http://www.anie.me/">
<div class="instructorphoto"><img src="./CS224S _ LINGUIST285 - Spoken Language Processing (Spring 2017)_files/allen_nie.jpg"></div>
<div>Allen Nie</div>
</a>
</div>
<div class="instructor">
<a href="https://www.linkedin.com/in/arjun-seshadri-7a445239">
<div class="instructorphoto"><img src="./CS224S _ LINGUIST285 - Spoken Language Processing (Spring 2017)_files/arjun.jpg"></div>
<div>Arjun Seshadri</div>
</a>
</div>
<div class="instructor">
<a href="https://www.linkedin.com/in/ajay-sohmshetty-68566955">
<div class="instructorphoto"><img src="./CS224S _ LINGUIST285 - Spoken Language Processing (Spring 2017)_files/ajay_sohmshetty.jpg"></div>
<div>Ajay Sohmshetty</div>
</a>
</div>
</div>
</div>
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<h2>Class Time and Location</h2>
Spring quarter (April - June, 2017)<br>
Lecture: Monday, Wednesday 4:30-5:50pm<br>
Location: <a href="https://campus-map.stanford.edu/?srch=Hewlett+Teaching+Center">Hewlett Teaching Center</a> (04-510) Room 201<br>
</div>
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<h2>Office Hours</h2>
<b>Andrew</b>: Wed 6:00-7:00pm, Huang 219<br>
(for research and project discussions)<br><br>
TAs:<br>
<b>Jiwei</b>: Fri 10:00-11:15am, Gates 2nd floor elevator area
(Project discussions only)<br>
<b>Rishabh</b>: Mon 10:00am-12:00pm, Gates 400<br>
<b>Ajay</b>: Tue 4:00-6:00pm, Huang Basement<br>
<b>Allen</b>: Wed 12:30-2:30pm, Huang Basement<br>
<b>Pujun</b>: Thu 11:30-1:30pm, Huang Basement<br>
<b>Berk</b>: Thu 1:00-3:00pm, Huang Basement<br>
</div> -->
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<div class="col-md-4">
<h2>Grading Policy</h2>
Assignment #1: 15%<br>
Assignment #2: 15%<br>
Assignment #3: 15%<br>
Midterm: 15%<br>
Final Project: 40%<br>
</div>
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<div class="col-md-6">
<h2>Grading Policy</h2>
See the <a href="https://web.stanford.edu/class/cs224s/grading.html">Grading Page</a> for more details on grading.
</div>
</div>
</div>
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<h2>Course Discussions</h2>
Stanford students: <a href="https://piazza.com/class/ilx0v32x8ce7dh">Piazza </a> (for Stanford students)
<br>
Online discussions: <a href="http://www.reddit.com/r/CS224d">Reddit Group </a> (for non-Stanford students)
<br>
Our Twitter account: <a href="https://twitter.com/cs224d">@CS224d</a>
</div-->
<div class="col-md-6">
<h2>Assignment Details</h2>
Assignment release dates, due dates, and handouts will be posted on the <a href="https://web.stanford.edu/class/cs224s/syllabus.html">Syllabus Page</a>.
</div>
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<h2>Final Project Details</h2>
See the <a href="project.html">Project Page</a> for more details on the final project.
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<h2>Useful Reference Texts</h2>
<ul>
<li>Dan Jurafsky and James H. Martin. <i>Speech and Language Processing (3rd ed. draft)</i> [<a href="https://web.stanford.edu/~jurafsky/slp3/">link</a>]</li>
<li>Yoav Goldberg. <i>A Primer on Neural Network Models
for Natural Language Processing</i> [<a href="http://u.cs.biu.ac.il/~yogo/nnlp.pdf">link</a>]</li>
<li>Ian Goodfellow, Yoshua Bengio, and Aaron Courville. <i>Deep Learning</i>. MIT Press. [<a href="http://www.deeplearningbook.org/">link</a>]</li>
</ul>
</div>
</div>
<div class="sechighlight">
<div class="container sec">
<h2>Prerequisites</h2>
<ul>
<li><span class="spanh">Proficiency in Python</span><br>Homework assignments will be in Python (using numpy and tensorflow). There is a tutorial <a href="http://cs231n.github.io/python-numpy-tutorial/">here</a> for those who aren't as familiar with Python. If you have a lot of programming experience but in a different language (e.g. C/C++/Matlab/Javascript) you will probably be fine.</li>
<li><span class="spanh">Foundations of Machine Learning and Natural Language Processing</span> (CS 124, CS 221, CS 224N, CS 229 or equivalent)<br> You should be comfortable with basic concepts of machine learning and natural language processing. We do not strictly enforce a particular set of previous courses but students will have to fill in gaps on their own depending on background.</li>
</ul>
</div>
</div>
<div class="container sec">
<h2>FAQ</h2>
<div class="qqa">
<div class="qq">Can I take this course on credit/no credit basis?</div>
<div class="qa">Yes. Credit will be given to those who would have otherwise earned a C- or above.</div>
</div>
<div class="qqa">
<div class="qq">Can I audit or sit in?</div>
<div class="qa">In general we are very open to sitting-in guests if you are a member of the Stanford community (registered student, staff, and/or faculty). Out of courtesy, we would appreciate that you first email us or talk to the instructor after the first class you attend.</div>
</div>
<div class="qqa">
<div class="qq">Can I work in groups for the Final Project?</div>
<div class="qa">Final projects should be done in groups of three people unless special permission is granted by the teaching staff.</div>
</div>
<div class="qqa">
<div class="qq">I have a question about the class. What is the best way to reach the course staff?</div>
<div class="qa">Stanford students please use an internal class forum on
Piazza so that other students may benefit from your questions and our
answers. If you have a personal matter, email us at the class mailing
list <b>[email protected]</b>.</div>
</div>
<!--div class="qqa">
<div class="qq">Can I combine the Final Project with another course?</div>
<div class="qa">Yes, you may. There are a couple of courses concurrently offered with CS224d that are natural choices, such as CS224u (Natural Language Understanding, by Prof. Chris Potts and Bill MacCartney). If you are taking a related class, please speak to the instructors to receive permission to combine the Final Project assignments.</div>
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