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<p>Once you've gathered your data, you will need to do several preprocess steps: sentence alignment, tokenization, normalization, and subsampling. </p>
<h3>Sentence alignment</h3>
-<p>In this exercise, we'll start with an existing sentence-aligned parallel corpus. Download this tarball, which contains a Spanish-Engish parallel corpus, along with a dev and a test set: <a href="data.tar.gz">data.tar.gz</a> </p>
+<p>In this exercise, we'll start with an existing sentence-aligned parallel corpus. Download this tarball, which contains a Spanish-Engish parallel corpus, along with a dev and a test set: <a href="http://cs.jhu.edu/~ccb/joshua/data.tar.gz">data.tar.gz</a> </p>
<p> The data tarball contains two training directories <code>training/</code>, which includes a subset of the corpus, and <code>full-training</code>, which includes the full corpus. I strongly recommend staring with the smaller set, and building an end-to-end system with it, since many steps take a very long time on the full data set. You should debug on the smaller set to avoid wasting time.</p>
