fix </s> striping

Author: jlibovicky

neuralmonkey/decoders/autoregressive.py

@@ -479,14 +479,16 @@ def feed_dict(self, dataset: Dataset, train: bool = False) -> FeedDict:
 
     @tensor
     def temporal_states(self) -> tf.Tensor:
+        # strip the last symbol which is </s>
         return tf.cond(
             self.train_mode,
-            lambda: tf.transpose(self.train_output_states, [1, 0, 2])[:, :-2],
+            lambda: tf.transpose(self.train_output_states, [1, 0, 2])[:, :-1],
             lambda: tf.transpose(
-                self.runtime_output_states, [1, 0, 2])[:, :-2])
+                self.runtime_output_states, [1, 0, 2])[:, :-1])
 
     @tensor
     def temporal_mask(self) -> tf.Tensor:
+        # strip the last symbol which is </s>
         return tf.cond(
             self.train_mode,
             lambda: tf.transpose(self.train_mask, [1, 0])[:, :-1],

neuralmonkey/decoders/sequence_labeler.py

@@ -17,7 +17,7 @@ class SequenceLabeler(ModelPart):
 
     Note that when the labeler is stacked on an autoregressive decoder, it
     labels the symbol that is currently generated by the decoder, i.e., the
-    decoder's state has not yet been updated by putting the decoded symbol on
+    decoder state has not yet been updated by putting the decoded symbol on
     its input.
     """