my brilliant solution

.gitignore

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+
+*~
+*.swp
+*.bak
+*.pyc
+*.o
+.DS_Store
+.token

README.md

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+Challenging America word-gap prediction
+===================================
+
+Guess a word in a gap.
+
+Evaluation metric
+-----------------
+
+LikelihoodHashed is the metric

config.txt

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+--metric PerplexityHashed --precision 2  --in-header in-header.tsv  --out-header out-header.tsv

in-header.tsv

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+FileId	Year	LeftContext	RightContext

out-header.tsv

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+Word

run.py

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+import lzma
+with lzma.open('dev-0/in.tsv.xz', 'r') as file:
+    for line in file:
+        line = line.decode("utf-8")
+        line = line.strip()
+        if 'I\t' in line:
+            print('am:0.9 :0.1')
+        elif 'you\t' in line:
+            print('are:0.9 :0.1')
+        elif 'he\t' in line:
+            print('is:0.9 :0.1')
+        elif 'she\t' in line:
+            print('is:0.9 :0.1')
+        else:
+            print('the:0.5 a:0.3 :0.2')