Added python script to determine the language.

classlang.py

@@ -0,0 +1,48 @@
+#!/usr/bin/env python3
+#
+# This script classifies the language of a file based on an advance NLP AI model. 
+# (Well or just some clever programming actually.)
+#
+# Usage:
+# python3 classlang.py filetocheck
+# Returns:
+# A string corresponding to the most likely language in the file. 
+#
+# To be used in conjunction with vim spelllang setting to automatically select the language.
+
+import sys
+
+# Only look at first 100 lines
+startoffile = open(sys.argv[1], encoding='utf-8').readlines()[0:99]
+
+print(startoffile)
+
+commonWordsDict = {
+"en_us" : [" the "," and "," a ", " to ", "The ", " an "],
+"nl" : [" de "," en "," in ", " van ", " op ", "De ", "Het "]
+}
+
+langs = list(commonWordsDict.keys())
+indexDict = dict(zip(range(0,len(langs)), langs))
+print(indexDict)
+
+def countOccurences(lang):
+    print(lang)
+    tot = 0
+    for l in startoffile:
+        for w in commonWordsDict[lang]:
+           print(l)
+           print(w)
+           tot += l.count(w)
+    return tot
+
+def classifyLanguage():
+   scores = map(countOccurences, langs)
+   scl = list(scores)
+   print(scl)
+   maxVal = max(scl)
+   print(maxVal)
+   maxIdx = scl.index(maxVal)
+   print(indexDict[maxIdx])
+
+classifyLanguage()