fixed typo, added recipe

05/index.html

@@ -84,9 +84,24 @@
     <h3>Chapter 2 - Joca van der Horst</h3>
     <em>Who is the Librarian + Reading the Structure</em>
 
+    <pre>reading_structure: ocr/output.txt
+      ## Analyzes OCR'ed text using a Part of Speech (POS) tagger. Outputs a string of tags (e.g. nouns, verbs, adjectives, and adverbs). Dependencies: python3's nltk, jinja2, weasyprint
+    	mkdir -p output/reading_structure
+    	cp src/reading_structure/jquery.min.js output/reading_structure
+    	cp src/reading_structure/script.js output/reading_structure
+    	cp src/reading_structure/style.css output/reading_structure
+    	cat $< | python3 src/reading_structure/reading_structure.py
+    	weasyprint -s src/reading_structure/print-noun.css output/reading_structure/index.html output/reading_structure/poster_noun.pdf
+    	weasyprint -s src/reading_structure/print-adv.css output/reading_structure/index.html output/reading_structure/poster_adv.pdf
+    	weasyprint -s src/reading_structure/print-dppt.css output/reading_structure/index.html output/reading_structure/poster_dppt.pdf
+    	weasyprint -s src/reading_structure/print-stopword.css output/reading_structure/index.html output/reading_structure/poster_stopword.pdf
+    	weasyprint -s src/reading_structure/print-neutral.css output/reading_structure/index.html output/reading_structure/poster_neutral.pdf
+    	weasyprint -s src/reading_structure/print-entity.css output/reading_structure/index.html output/reading_structure/poster_named_entities.pdf
+    	x-www-browser output/reading_structure/index.html</pre>
+
     <p>With Who is the Librarian: The gendered image of the librarian and the information scientist, Joca explores two frequent gender stereotypes: librarianship as a job for women and information science as a male-dominated field. The selection of texts in this reader elaborates on the origin of these stereotypes and the different social status of these professions. This could be the way to answer the question: Who do we want to be the librarian in the future?</p>
 
-    <p>Then moving from human interpretation to software interpretation, Joca presents a software, Reading the Structure, that attempts to make visible to human readers how machines, or to be more precise, specific software implementation of text analysis, interpret texts. Computers read a text differently than we do. One of the common methods for software to analyze a text, is to cut the sentences into loose words. Then each word can be labelled for importance, sentiment, or its function in the sentence. During this process of structuring the text, the relation with the original text fades away. Reading the Structure is a reading interface that brings the labels bag in the original text. Does that makes us, mere humans, able to read like our machines do?</p>
+    <p>Then moving from human interpretation to software interpretation, Joca presents a software, Reading the Structure, that attempts to make visible to human readers how machines, or to be more precise, specific software implementation of text analysis, interpret texts. Computers read a text differently than we do. One of the common methods for software to analyze a text, is to cut the sentences into loose words. Then each word can be labelled for importance, sentiment, or its function in the sentence. During this process of structuring the text, the relation with the original text fades away. Reading the Structure is a reading interface that brings the labels back in the original text. Does that makes us, mere humans, able to read like our machines do?</p>
 
     <h3>Chapter 3 - Zalán Szakács</h3>
     <em>From DIY Book Scanning to the Shadow Librarian + ACCP - Analogue Circular Communication Protocol</em>