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<!DOCTYPE html>
<html lang="en">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<!-- Tab icon and title -->
<title>CSC3160 Fundamentals of Speech and Language Processing/MDS6002 Natural Language Processing</title>
<!-- bootstrap template -->
<link rel="stylesheet" href="./css/bootstrap.min.css">
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<!-- Google fonts -->
<link href="./css/font.css" rel="stylesheet" type="text/css">
<link rel="stylesheet" type="text/css" href="./css/style.css">
</head>
<body>
<div id="header">
<h1>CSC3160 Fundamentals of Speech and Language Processing</h1>
<h1> MDS6002 Natural Language Processing</h1>
<div class="text-center">
<h4>Spring 2023</h4>
</div>
</div>
<div class="sechighlight">
<div class="container sec">
<div id="coursedesc">
The difference between speech and language processing and other data processing is the use of knowledge
of language. In this course, we will study how to describe, process and compute different levels of
language knowledge including Phonetics and Phonology, Morphology, Syntax, Semantics, and how the
language knowledge is used in speech and language applications such as named entities recognition,
information extraction, question answering, speech recognition, and speech synthesis.
</div>
</div>
</div>
<div class="container sec">
<div class="row">
<h2><b>Teaching team</b></h2>
<hr />
<div class="col-md-2">
<div class="instructor">
<div class="instructorphoto"><img src="./imgs/photo_1205.jpeg"></div>
<div>Instructor <br> <a href="https://drwuz.com" target="_blank">Zhizheng Wu</a></div>
</div>
</div>
<div class="col-md-2">
<div class="instructor">
<div class="instructorphoto"><img src="./imgs/chenxi.jpeg"></div>
<div>TA <br> <a href="https://chenx17.github.io/" target="_blank">Xi Chen</a></div>
</div>
</div>
<div class="col-md-2">
<div class="instructor">
<div class="instructorphoto"><img src="./imgs/xueyao.jpeg"></div>
<div>TA <br><a href="https://www.zhangxueyao.com/" target="_blank">Xueyao Zhang</a></div>
</div>
</div>
</div>
</div>
<div class="sechighlight">
<div class="container sec">
<h2><b>Poster Session</b></h2>
<hr />
<div id="coursedesc">
<p> A final project poster session is planned by the end of the course (tentatively May 21st 2023). This
is to provide students the opportunities to connect with speech and language research/industry
community.
</p>
<p>Anyone from the CUHK-Shenzhen and speech and language technology community are welcome to join. More
details will be provided when it is close to the event. Feel free to reach out!</p>
<br>
<br>
<p>Here is the <a href="https://mp.weixin.qq.com/s/S6pJjM_aBnRFvR40IdAsmA">review</a> of the poster session event, with invited talks from industry.</p>
</div>
</div>
</div>
<div class="container sec">
<h2><b>Logistics</b></h2>
<hr />
<div id="coursedesc">
<p>
<ul>
<li> <b>Lectures:</b> are on Tuesday/Thursday 4:00PM - 5:20PM in TB103. Note: lectures will be remote
for the first two weeks, and hybrid afterwards. The Zoom link is posted on BB.</li>
<li> <b>Office hours</b> </li>
<ul>
<li>Zhizheng Wu: Thu 2:30-3:30 PM. Daoyuan Building 321b</li>
<li>Xi Chen: Wed 7-9PM. SDS Research Lab (4th Floor, Zhi Xin Building) Seat No.100</li>
<li>Xueyao Zhang: Wed 7-9PM. SDS Research Lab (4th Floor, Zhi Xin Building) Seat No.78</li>
</ul>
<li> <b>Contact:</b> If you have any question, please reach out to us via email or post it to BB.</li>
<!-- <a href="https://join.slack.com/t/csc3160mds6002/shared_invite/zt-1mnxl1sia-Kyqs7RsoMLAvsv8nHSOCHg">Slack</a>. Anyone is welcome to join the slack channel for discussion. -->
</ul>
</p>
</div>
</div>
<div class="sechighlight">
<div class="container sec">
<h2><b>Course Information</b></h2>
<hr />
<div id="coursedesc">
<p>
This course is designed as the first course for students who are interested in speech and language
technology. The first half of the course focuses on the fundamentals and introduces tools for
students to use, and the second half emphasises on applications, giving students the opportunity to
know how speech and language technology could impact human life.
In particular, the topics include:
<ul>
<li> Understanding human speech: spectrogram, fundamental frequency, formant, etc </li>
<li> Human sounds and their organization </li>
<li> Words and their relationship to other words </li>
<li> Syntax: Structure of sentences </li>
<li> Text processing and regular expressions </li>
<li> Language models </li>
<li> Embedding: Representations of the meaning of words </li>
<li> Word classifications and Named entities recognition </li>
<li> Applications: speech recognition, speech synthesis, machine translation, chatbot, etc</li>
</ul>
</p>
</div>
<h3>Prerequisites</h3>
<ul>
<li><b>Proficiency in LaTex: </b> All the reports need to be written by using LaTex. A template will be
provided. If you are not familiar with LaTex, please learn from the <a
href="https://www.overleaf.com/learn/latex/Tutorials" target="_blank">tutorial</a> in advance.
</li>
<li><b>Proficiency in GitHub: </b> All the source codes need to be submitted in GitHub. </li>
<li><b>Proficiency in Python:</b> All the assignments will be in Python (using Numpy and <a
href="https://pytorch.org/" target="_blank">PyTorch</a>). </li>
<li><b>Basic machine learning knowledge: </b> It is possible to take this course without any machine
learning knowledge, however, the course will be easier if you have foundations of machine learning.
</li>
<li><b>Basic Concepts of probability: </b> It will be easier for you to understand some lectures if you
know basics of probability. </li>
</ul>
<h3>Textbooks</h3>
<p>
Recommended Books:
<ul id="textbooks">
<li><a href="https://web.stanford.edu/~jurafsky/slp3/" target="_blank">Speech and Language Processing
(3rd ed. draft)</a>, by Dan Jurafsky and James H. Martin</li>
</ul>
</p>
<h3>Grading Policy (CSC3160/MDS6002)</h3>
<h4>Assignments (30%)</h4>
<ul>
<li><b>Assignment 1 (12%)</b>: Speech alignment and synthesis</li>
<li><b>Assignment 2 (8%)</b>: Text processing</li>
<li><b>Assignment 3 (10%)</b>: Word embedding and classification</li>
</ul>
<h4>Midterm exam (25%)</h4>
<p>We will have a mid-term exam on March 9th 2023. The scope of the mid-term exam is from lecture 1 to
lecture 12. </p>
<h4>Final project (40%)</h4>
<p>You need to write a project proposal (2 pages) and a project report (max 6 pages) for the final project.
Here is the <a href="https://www.overleaf.com/read/fvhykwvngdwz">report template</a>. You are also
expected to report project milestones and make a project poster presentation. After the final project
deadline, feel free to make your project open source.</p>
<ul>
<li><b>Project proposal (2%)</b>: Use <a href="https://www.overleaf.com/read/cpcnkgcdsymc">this
template</a> to write a 2-page proposal. The proposal should include the problem you are trying
to solve, why the problem is important, interesting or difficult. Please also include the papers you
plan to read and the high-level idea of your solution to the problem.</li>
<li><b>Project milestone (2%)</b>: Use the provided templates <a
href="https://www.overleaf.com/read/pcjzgwyywmpj">[Milestone1]</a> <a
href="https://www.overleaf.com/read/jzvbfmpgyzch">[Milestone2]</a> to write project milestone
reports. Each project milestone report can be an one-page report, containing what you have done in
reading and coding. You are expected to include the git pull request ID or commit ID in the
milestone report.</li>
<li><b>Project poster (5%)</b>: A template will be provided for the poster presentation.</li>
<ul>
<li><b>Expert rating (4%)</b>: Your poster presentation will be rated by at least 3 experts
(professors or scientists from industry). The average rating will be the final credit. </li>
<li><b>Peer review (1%)</b>: Each student provides constructive feedback to other 4 posters. The
contructive feedback in written will be rated and shared with other students. </li>
</ul>
<li><b>Code reproducibility (1%)</b>: Visual inspection of code quality and readability.</li>
<li><b>Project report (30%)</b>: The project report will be publicly available after the final poster
session. Please let us know if you don't wish so.</li>
<ul>
<li><b>Originality and creativity (2%)</b>: Original and creative ideas are encouraged. </li>
<li><b>Reference to prior work (3%)</b>: Cite existing related work, and discuss the motivation on
why you work this project and your algorithm or approach. Even you are reproducing a published
paper, you should have your own motivation. </li>
<li><b>Technical correctness (4%)</b>: Present your algorithms or systems for your project. Provide
key information for reviewers to judge whether it is technically correct. </li>
<li><b>Experimental validation (4%)</b>: Present your experimental setups, and experiments
conducted. Discuss the motivation of the designed experimental setups. Describe the project
evaluation metrics and present details to understand your evaluation. </li>
<li><b>Analysis quality (6%)</b>: Report quantitative results and include qualitative evaluation.
Analyze and understand your system by inspecting key outputs and intermediate results. Discuss
how it works, when it succeeds and when it fails, and try to interpret why it works and why not.
</li>
<li><b>Clarity in writing (3%)</b>: The report is written in a precise and concise manner so the
report can be easily understood. </li>
<li><b>Overall quality of report (5%)</b>: This is an overall evaluation of the final project
report, including all dimensions: writing, creativity, convincing experiments and analysis.
</li>
<li><b>Peer review (3%)</b>: Each student writes constructive reviews to six other reports. Each
review is worth 0.5%. </li>
<li><b>Project bonus (2%)</b>: If you submit the project report by the early submission due date, 2%
bonus credit will be entitled. However, your project credit is capped at 40%.</li>
<li><b>Competition bonus (2%)</b>: If you use the final project to participate in a startup pitch
competition, you could get 2% credit if you receive positve feedback. However, you need to get
approval from the teaching team in advance. Also, your project credit is capped at 40%.</li>
</ul>
</ul>
<h4>Participation (5%)</h4>
<p>Here are some ways to earn the participation credit, which is capped at 5%. </p>
<ul>
<li><b>Attending Guest lectures</b>: In the second half of the course, we have four invited speakers. We
encourage students to attend the guest lectures and participate in Q&A. All students get 0.75% per
guest lecture (in total 3%) for either attending in person, or by writing a guest lecture report if
they attend remotely or watch the recording. </li>
<li><b>Completing feedback surveys</b>: We will send out two feedback surveys during the semester to
improve the course. All students get 0.5% per survey (in total 1%) for completing the surveys.</li>
<li><b>Course and Teaching Evaluation (CTE)</b>: The school will send requests for CTE to all students.
The CTE is worth 1% credit.</li>
<!-- <li><b>Slack participation</b>: The top 10 contributors (10 from CSC3100 and 10 from MDS6002) to slack will get 1%; others will get credit in propotion to the 10th contributor. </li>
-->
<li><b>Volunteer credit (1%)</b>: TAs/instuctor can nominate students for a volunteer credit for those
who help the poster session organization, or help answer questions from other students (not writing
assignments). </li>
</ul>
<h3>Late Policy</h3>
<p>The penalty is 0.5% off the final course grade for each late day.</p>
</div>
</div>
<div class="container sec">
<h2><b>Schedule</b></h2>
<hr />
<table class="table">
<tbody>
<tr class="active">
<th nowrap>Date</th>
<th>Lecture Description</th>
<th>Readings</th>
<th nowrap>Lecture Note</th>
<th>Events/Deadlines</th>
</tr>
<tr>
<td>Jan 4</td>
<td>Tutorial 0: GitHub, LaTeX, and Colab</td>
<td><a href="https://www.overleaf.com/learn/latex/Learn_LaTeX_in_30_minutes">Learn LaTeX in 30
minutes</a><br>
<a href="https://colab.research.google.com/">Colab official tutorial</a> <br>
<a href="https://docs.github.com/en/get-started/quickstart/hello-world">Official tutorials of
GitHub</a>
</td>
<td nowrap>[<a href="./materials/tutorials/Tut0-GitHub-LaTeX-Colab.pdf">Slides</a>]</td>
<td>Self-study</td>
</tr>
<tr>
<td>Jan 5</td>
<td>Lecture 1: Introduction and course overview</td>
<td> </td>
<td nowrap>[<a href="./materials/lecture_notes/Lecture_1_Introduction.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]
</td>
<td> </td>
</tr>
<tr>
<td>Jan 10</td>
<td>Lecture 2: Machine learning in a nutshell</td>
<td> <a href="https://developer.nvidia.com/blog/deep-learning-nutshell-core-concepts/">Deep Learning
in a Nutshell: Core Concepts</a> <br> <a
href="https://mitsloan.mit.edu/ideas-made-to-matter/machine-learning-explained">Machine
learning, explained</a></td>
<td>[<a href="./materials/lecture_notes/Lecture_2_Machine_learning.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]
</td>
<td> </td>
</tr>
<tr class="success">
<td nowrap>Jan 11</td>
<td>Tutorial 1: PyTorch</td>
<td><a href="https://pytorch.org/tutorials/beginner/basics/quickstart_tutorial.html">PyTorch
Quickstarts</a><br><a href="https://pytorch.org/get-started/locally/">PyTorch
Installation</a></td>
<td>
[<a href="./materials/tutorials/Tut1-PyTorch.pdf">Slides</a>]<br>
[<a
href="https://cuhko365-my.sharepoint.com/:v:/g/personal/222042021_link_cuhk_edu_cn/EWB7I5yqp9NLtkgaHsWFSJMB7USvic0K8HW4NGIMp7Qllg?e=eBZ4Ko">Video</a>]<br>
[<a
href="https://colab.research.google.com/drive/1_dpTtjt91Gw1u80K5hPQp8SdH0ir_OjA?usp=sharing">Colab</a>]
</td>
<td> </td>
</tr>
<tr>
<td>Jan 12</td>
<td>Lecture 3: Understanding sound and acoustics</td>
<td><a href="https://www.animations.physics.unsw.edu.au/jw/sound-pitch-loudness-timbre.htm">Pitch,
loudness and timbre</a><br><a
href="https://newt.phys.unsw.edu.au/jw/sound.spectrum.html">What is a Sound Spectrum?</a>
</td>
<td>[<a href="./materials/lecture_notes/Lecture_3_Sound_acoustic.pdf">Slides</a>] <br> [<a
href="./materials/lecture_notes/Lecture_3_sound/index.html">HTML</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]<br>
[<a
href="https://github.com/SLPcourse/SLPcourse.github.io/blob/main/materials/lecture_notes/code">Code</a>]
</td>
<td><b>Assignment 1 <font color="green">out</font></b> </td>
</tr>
<tr class="success">
<td>Jan 15</td>
<td>Tutorial 2: TorchAudio (by Torchaudio team)</td>
<td> <a href="https://pytorch.org/audio/stable/index.html">TorchAudio Documentation</a></td>
<td>[<a href="./materials/tutorials/Tut2_TorchAudio.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]
</td>
<td> 10:00am via zoom </td>
</tr>
<tr>
<td>Jan 17</td>
<td>Lecture 4: Understanding human speech</td>
<td><a href="https://newt.phys.unsw.edu.au/jw/voice.html">Voice Acoustics: an introduction</a><br><a
href="https://speechprocessingbook.aalto.fi/index.html">Introduction to Speech
Processing</a></td>
<td>[<a href="./materials/lecture_notes/Lecture_4_Understanding_speech.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]<br>
[<a
href="https://github.com/SLPcourse/SLPcourse.github.io/blob/main/materials/lecture_notes/code">Code</a>]
</td>
<td> </td>
</tr>
<tr>
<td>Feb 9</td>
<td>Lecture 5: Human sounds and their organization</td>
<td><a href="https://web.stanford.edu/~jurafsky/slp3/25.pdf">Chapter 25: Phonetics</a></td>
<td>[<a href="./materials/lecture_notes/Lecture_5_phonetics.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]
</td>
<td> </td>
</tr>
<tr>
<td>Feb 14</td>
<td>Lecture 6: Text processing and regular expressions</td>
<td><a href="https://web.stanford.edu/~jurafsky/slp3/2.pdf">Chapter 2: Regular Expressions, Text
Normalization, Edit Distance</a></td>
<td>[<a href="./materials/lecture_notes/Lecture_6_Text_processing.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]
</td>
<td><b>Assignment 2 <font color="green">out</font></b><br><b>Assignment 1 <font color="red">due
(11:59pm)</font></b></td>
</tr>
<tr class="success">
<td>Feb 15</td>
<td>Tutorial 3: Text processing</td>
<td><a href="https://docs.python.org/3/library/re.html">Python Regular Expression
Documentation</a><br><a href="https://www.nltk.org/howto/tokenize.html">NLTK
Tokenize Documentation</a></td>
<td>[<a href="./materials/tutorials/Tut3_TextProcessing.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:v:/g/personal/222043002_link_cuhk_edu_cn/EV4yKn5BALtJhEHWTUj01bsBI5uwMVH97OZkmWvpxuP9xw?e=zGpBOM">Video</a>]<br>[<a
href="https://colab.research.google.com/drive/1IKPG0tLZwvmM8lNVK3ddZ3yYp-35Ky1Y?usp=sharing">Colab</a>]
</td>
<td> </td>
</tr>
<tr class="success">
<td>Feb 15</td>
<td>Project Release</td>
<td>
<a href="https://github.com/SLPcourse/Singing-Voice-Conversion">Singing Voice Conversion
Project</a><br>
<a href="https://github.com/SLPcourse/Detecting-Generated-Abstract">Detecting Generated Abstract
Project</a><br>
<a href="https://github.com/SLPcourse/Voice-Spoofing-Detection">Voice Spoofing Detection
Project</a>
</td>
<td>[<a href="./materials/tutorials/Project.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:v:/g/personal/222042021_link_cuhk_edu_cn/EQZ5H7mFY-9CmpfBRkH41w4Bi4DakZ2-IFqbu9TQAcJcPw?e=jE5sN1">Video</a>]
</td>
<td> </td>
</tr>
<tr>
<td>Feb 16</td>
<td>Lecture 7: Words and their relationship to other words</td>
<td><a href="https://web.stanford.edu/~jurafsky/slp3/8.pdf">Chapter 8: Sequence Labeling for Parts
of Speech and Named Entities</a></td>
<td>[<a href="./materials/lecture_notes/Lecture_7_Words.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]
</td>
<td> </td>
</tr>
<tr>
<td>Feb 21</td>
<td>Lecture 8: Syntax: Structure of sentences</td>
<td> </td>
<td>[<a href="./materials/lecture_notes/Lecture_8_Syntax.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]
</td>
<td></td>
</tr>
<tr>
<td>Feb 23</td>
<td>Lecture 9: Language models</td>
<td><a href="https://web.stanford.edu/~jurafsky/slp3/3.pdf">Chapter 3: N-gram Language
Models</a><br><a href="https://web.stanford.edu/~jurafsky/slp3/7.pdf">Chapter 7: Neural
Networks and Neural Language Models</a></td>
<td>[<a href="./materials/lecture_notes/Lecture_9_Language_models.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]
</td>
<td><b>Assignment 2 <font color="red">due (11:59pm)</font></b></td>
</tr>
<tr>
<td>Feb 28</td>
<td>Lecture 10: Language models</td>
<td><a href="https://web.stanford.edu/~jurafsky/slp3/3.pdf">Chapter 3: N-gram Language
Models</a><br><a href="https://web.stanford.edu/~jurafsky/slp3/7.pdf">Chapter 7: Neural
Networks and Neural Language Models</a><br><a
href="https://jalammar.github.io/illustrated-transformer/">The Illustrated Transformer</a>
</td>
<td>[<a href="./materials/lecture_notes/Lecture_10_Language_models.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]
</td>
<td> </td>
</tr>
<tr>
<td>Mar 2</td>
<td>Lecture 11: Embedding: Representations of the meaning of words</td>
<td><a href="https://web.stanford.edu/~jurafsky/slp3/6.pdf">Chapter 6: Vector Semantics and
Embeddings</a></td>
<td>[<a href="./materials/lecture_notes/Lecture_11_Word_embedding.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]
</td>
<td><b>Project proposal <font color="red">due (11:59pm)</font></b></td>
</tr>
<tr>
<td>Mar 7</td>
<td>Lecture 12: Embedding: Representations of the meaning of words</td>
<td><a href="https://web.stanford.edu/~jurafsky/slp3/6.pdf">Chapter 6: Vector Semantics and
Embeddings</a></td>
<td>[<a href="./materials/lecture_notes/Lecture_12_Word_embedding.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]
</td>
<td> </td>
</tr>
<tr class="success">
<td>Mar 8</td>
<td>Tutorial 4: Word embedding</td>
<td> </td>
<td> [<a href="./materials/tutorials/Tut4_WordEmb.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:v:/g/personal/222043002_link_cuhk_edu_cn/Ee-9mcHyv0dMqoloc6yf668B65ty_P_2gzEmipqf5PebHg?e=vs1JaV">Video</a>]
<br>
[<a
href="https://colab.research.google.com/drive/1TRQyU5MtWn9DTuFCnKjbI1cjxh2mh_KW?usp=sharing">Colab</a>]
</td>
<td> </td>
</tr>
<tr class="danger">
<td>Mar 9</td>
<td><b>
<font color="red">Midterm exam</font>
</b></td>
<td> </td>
<td> </td>
<td><b>Assignment 3 <font color="green">out</font></b></td>
</tr>
<tr>
<td nowrap>Mar 14</td>
<td>Word embedding</td>
<td> </td>
<td>[<a href="./materials/lecture_notes/">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]
</td>
<td></td>
</tr>
<tr class="success">
<td>Mar 15</td>
<td>Tutorial 5: Visualization and plotting</td>
<td>
<a href="https://aclanthology.org/2022.acl-long.311.pdf">Case Study - Zoom Out and Observe:
News
Environment Perception for Fake News Detection</a>
</td>
<td>
[<a href="./materials/tutorials/Tut5_Visualization.pdf">Slides</a>]<br>
[<a
href="https://colab.research.google.com/drive/1sKAiDmvymnM4np5As3fcnPUtsPt7oaqn?usp=sharing">Colab</a>]<br>
[<a
href="https://cuhko365-my.sharepoint.com/:v:/g/personal/222042021_link_cuhk_edu_cn/EUCrBwhBexlNq73LOhIO89wBRAdsu2jkupn3O8KzkI5vvQ?e=CBodpg">Video</a>]
</td>
<td> </td>
</tr>
<tr>
<td>Mar 16</td>
<td>Lecture 13: SLP Application - Sentiment analysis</td>
<td> </td>
<td>[<a href="./materials/lecture_notes/Lecture_13_Affect_computing.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]
</td>
<td> </td>
</tr>
<tr>
<td>Mar 21</td>
<td>Lecture 14: SLP Application - Text summarization</td>
<td> </td>
<td>[<a href="./materials/lecture_notes/">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]
</td>
<td><b>Assignment 3 <font color="red">due (11:59pm)</font></b></td>
</tr>
<tr class="warning">
<td>Mar 22</td>
<td>Lecture 15: Summarizing Conversations: From Meetings to Social Media (by <a
href="https://sites.google.com/site/nancyfchen/home">Nancy Chen</a>)</td>
<td> </td>
<td></td>
<td><b>
<font color="green">Invited talk. Location: DY103, Time: 12-13</font>
</b></td>
</tr>
<tr class="warning">
<td>Mar 28</td>
<td>Lecture 16: SLP Application - Fundamentals of speech recognition (by <a
href="https://www.linkedin.com/in/xiong-xiao-0a6a9b29/">Xiong Xiao</a>)</td>
<td></td>
<td>[<a href="materials/lecture_notes/Xiao_Guest_lecture_ASR.pdf">Slides</a>]</td>
<td><b>
<font color="green">Invited guest lecture</font>
</b></td>
</tr>
<tr>
<td>Mar 30</td>
<td>Mid-term break</td>
<td> </td>
<td> </td>
<td><b> Project milestone 1 <font color="red"> due (11:59pm)</font></b></td>
</tr>
<tr>
<td>Apr 6</td>
<td>Lecture 17: SLP Application - Voice conversion(by <a href="https://wsstriving.github.io/">Shuai
Wang</a>)</td>
<td> </td>
<td>[<a href="./materials/lecture_notes/Wang_voice_conversion.pdf">Slides</a>]
</td>
<td> <b>
<font color="green">Invited guest lecture</font>
</b></td>
</tr>
<tr>
<td>Apr 11</td>
<td>Final project development </td>
<td>In-class office hour </td>
<td> </td>
<td> </td>
</tr>
<tr>
<td>Apr 13</td>
<td>Final project development</td>
<td>In-class office hour </td>
<td> </td>
<td></td>
</tr>
<tr>
<td>Apr 18</td>
<td>Lecture 18: SLP Application - Text-to-speech synthesis</td>
<td> </td>
<td>[<a href="./materials/lecture_notes/Lecture_18_TTS.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]
</td>
<td><b> Project milestone 2 <font color="red">due (11:59pm)</font></b></td>
</tr>
<tr>
<td>Apr 20</td>
<td>Lecture 19: SLP Application - Machine translation</td>
<td><a href="https://web.stanford.edu/~jurafsky/slp3/13.pdf">Chapter 13: Machine Translation</a>
</td>
<td>[<a href="./materials/lecture_notes/Lecture_19_Machine_translation.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]
</td>
<td> </td>
</tr>
<tr>
<td>Apr 25</td>
<td>Lecture 20: SLP Application - Question answering</td>
<td><a href="https://web.stanford.edu/~jurafsky/slp3/14.pdf">Chapter 14: Question Answering</a></td>
<td>[<a href="./materials/lecture_notes/Lecture_20_Question_answering.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]
</td>
<td> </td>
</tr>
<tr>
<td>Apr 27</td>
<td>Lecture 21: SLP Application - Chatbot</td>
<td><a href="https://web.stanford.edu/~jurafsky/slp3/15.pdf">Chapter 15: Chatbots and Dialogue
Systems</a></td>
<td>[<a href="./materials/lecture_notes/Lecture_21_Chatbot.pdf">Slides</a>] <br> [<a
href="https://cuhko365-my.sharepoint.com/:f:/g/personal/wuzhizheng_cuhk_edu_cn/EkWiGYtWog5KiDVKJzwUo6YBG80UgOEkmvZk27aPbzYx5g?e=ciFnnG">Video</a>]
</td>
<td></td>
</tr>
<tr class="warning">
<td>May 4</td>
<td>No class</td>
<td><a href="https://cuhko365-my.sharepoint.com/:v:/r/personal/wuzhizheng_cuhk_edu_cn/Documents/Courses/CSC3160/Recordings/how_to_write_final_report.mp4?csf=1&web=1&e=BXUOaX">How to write the final report?</a></td>
<td></td>
<td>
<b>Final project report <font color="green">early submission </font>
<font color="red">due (11:59pm)</font>
</b>
</td>
</tr>
<tr class="warning">
<td>May 9</td>
<td> No class </td>
<td> </td>
<td> </td>
<td></td>
</tr>
<tr>
<td>May 11</td>
<td> </td>
<td> </td>
<td> </td>
<td><b>Final project report <font color="red">due (11:59pm)</font></b></td>
</tr>
<tr class="danger">
<td nowrap>May 21</td>
<td><b>Final project poster session</b></td>
<td>
This session is open to the CUHK-Shenzhen community and invited guests. Details will be
available soon.
<br>
Time: 9am - 12:00pm for poster session, 1:30pm - 5:30pm for talks from external experts.
<br>
There will be companies offering full-time job and internship opportunities.
</td>
<td></td>
<td> </td>
</tr>
</tbody>
</table>
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