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--- public:t-malv-15-3:1 [2015/08/20 08:19] – [2. Naive is_male] orvark
+++ public:t-malv-15-3:1 [2024/04/29 13:33] (current) – external edit 127.0.0.1
@@ Line 49: / Line 49: @@
 </code>
-**Return the your code for applying the functions you selected.**
+**Return the your code for applying the four functions you selected in the last part.**
-Note to use print(my_...) to show the change the function made if it does not return a value.
+Note to use print(my_...) to show the change the function made.
@@ Line 78: / Line 78: @@
 </code>
-**Can you improve the function so it at least handles the false positives in the example above?**
+**Can you improve the function so it handles some of the false positives in the example above?**
 ===== 3. Replace bad with good =====
@@ Line 100: / Line 100: @@
 ===== 4. NLTK functions =====
+Before you can get started with the NLTK corpora you have download it with nltk.download() once.
 <code python>
 import nltk
-nltk.download()
 </code>
@@ Line 154: / Line 155: @@
 </code>
+===== Possible Solutions =====
+<code python>
+#1
+my_str.upper()
+my_int.str()
+my_float.is_integer()
+my_list.pop(2)
+#2
+def is_male(proper_name):
+    return proper_name[-3:] == "son"
+    #return proper_name.endswith("son")
+# return ... and ' ' in proper_name and proper_name.istitle() and "Gillian" in proper_name
+# return ... and proper_name.find(' ') and proper_name.istitle() and proper_name.find("Gillian")
+#3
+def str_replace(text, bad_list, good=''):
+    for bad in bad_list:
+        text = text.replace(bad, good)
+    return text
+#4
+from nltk.book import text6
+text6.concordance("coconut")
+text6.similar("coconut")
+text6.collocations()
+#5
+sorted(w for w in set(text6) if w.startswith('z')) # w[0] == 'z'
+sorted(set(w for w in text6 if w.isupper())))
+#6
+rules["N"] += ["dog", "cat"]
+rules["V"].append("hates")
+for left, right in rules.items():
+    print(left, "->", ' | '.join(right))
+</code>