altk -> ultk O_O

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@@ -1230,7 +1230,7 @@ <h3 class="mx-auto subsection-header pt-3">2016</h3>
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 								<h1 class="mx-auto font-weight-bold font-cabin section-border">Resources</h1>
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-							<p><a href="https://clmbr.shane.st/altk">The Artificial Language Toolkit</a>: this is a Python library (in very active development) to facilitate research using artificial languages, especially in semantic typology.  Current tools focus on efficient communication and grammars for expressions in a language-of-thought.</p>
+							<p><a href="https://clmbr.shane.st/ultk">ULTK: The Unnatural Language Toolkit</a>: this is a Python library (in very active development) to facilitate research using unnatural languages, especially in semantic typology.  Current tools focus on efficient communication and grammars for expressions in a language-of-thought.</p>
 							<p><a href="https://github.com/CLMBRs/lm-training">lm-training</a>: a skeleton for config-driven training of language models on your own data, using HuggingFace.  Includes the ability to use HF's Trainer to train recurrent models in addition to transformers.</p>
 							<p><a href="https://clmbr.shane.st/modal-typology">The Modal Typology Database</a>: a database recording observations about the semantic typology of modals in natural language, focusing on the force-flavor pairs that they can express.  This is a growing resource, designed to be easy to contribute to, so please consider so doing!</p>
 							<p><a href="https://github.com/shanest/edugrad">edugrad</a>: a minimal re-implementation of the PyTorch API for building dynamic computation graphs and computing gradients via backpropagation, designed for pedagogical purposes.</p>