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1 parent b03abb4 commit 8acc11037061189b133dbc3a983c2d028f03decd @alopez committed Feb 2, 2012
Showing with 17 additions and 7 deletions.
  1. +17 −7 index.html
@@ -28,11 +28,21 @@
<a href="assignment0.html">Assignment 0</a> (due Friday, 2/3 @
11:59 PM EDT)<br/>
- </p>
+ </p>
+ <p>
+ <ul>
+ <li><b><a href="#overview">Overview</a></b></li>
+ <li><b><a href="#grading">Grading</a></b></li>
+ <li><b><a href="#schedule">Schedule</a></b></li>
+ <li><b><a href="#software">Software</a></b></li>
+ <li><b><a href="#data">Data</a></b></li>
+ <li><b><a href="#resources">Resources</a></b></li>
+ </ul>
+ </p>
<div class="content">
- <h1>Machine Translation <font color="lightgrey">: 600.468 : Spring 2012</font></h1>
+<a name="#overview"></a><h1>Machine Translation <font color="lightgrey">: 600.468 : Spring 2012</font></h1>
<div id="course" class="cv">
@@ -86,7 +96,7 @@ <h1>Machine Translation <font color="lightgrey">: 600.468 : Spring 2012</font></
is recommended, but not required.
-<h2>Course Structure and Grading</h2>
+<a name="grading"></a><h2>Course Structure and Grading</h2>
<h3>Homework (4 assignments, 10 points apiece)</h3>
<p>Class meetings will consist mainly of lectures, but the only way to
fully understand all of the problems that you need to solve in building a
@@ -161,7 +171,7 @@ <h3>Quizzes (10 points)</h3>
<p>These are mainly designed to help us understand how well you're following along.</p>
-<h2>Tentative Schedule</h2>
+<a name="schedule"></a><h2>Tentative Schedule</h2>
<p>Subject to change as the term progresses.</p>
@@ -352,7 +362,7 @@ <h2>Tentative Schedule</h2>
+<a name="software"></a><h2>Software</h2>
State-of-the-art translation algorithms are implemented in a number of
open-source projects. The most popular of these are listed below.
They are all actively maintained and have significant userbases.
@@ -368,7 +378,7 @@ <h2>Software</h2>
<li><a href="">Berkeley Aligner</a>: a robust Java implementation of several innovative alignment algorithms (Java).</li>
+<a name="data"></a><h2>Data</h2>
Modern machine translation systems work by learning from large amounts
of data. Many datasets are freely available. You should use whatever data
is appropriate to the problem that you decide to work on for your project.
@@ -380,7 +390,7 @@ <h2>Data</h2>
<li><a href="">OPUS</a> is a collection of parallel corpora in a variety of languages and domains. Includes some interesting domains such as film subtitles.
-<h2>Other Resources and Classes</h2>
+<a name="resources"></a><h2>Other Resources and Classes</h2>
<li>The <a href="">ACL Anthology</a> archives papers published by the Association for Computational Linguistics, which covers a wide variety of topics in natural language processing. It includes many of the classic papers on machine translation.
<li>The <a href="">MT Archive</a> holds historical and modern research papers on machine translation. There is some overlap with the ACL Anthology, but it is focused specifically on machine translation, and also includes many papers from other venues, as well as historical papers..</li>

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