Merge pull request #1 from francoishernandez/fix_typos_2090

Fix some typos -- Source Features 2.0 PR

Author: anderleich

docs/source/FAQ.md

@@ -542,7 +542,7 @@ During inference you can pass features by using the `--src_feats` argument. `src
 python translate.py -model model_step_10.pt -src ../data.txt.tok -output ../data.out --src_feats "{'feat_0': '../data.txt.feats0', 'feat_1': '../data.txt.feats1'}"
 ```
 
-When using the Transformer arquitechture make sure the following options are appropiately set:
+When using the Transformer architechture make sure the following options are appropriately set:
 
 - `src_word_vec_size` and `tgt_word_vec_size` or `word_vec_size`
 - `feat_merge`: how to handle features vecs

onmt/inputters/corpus.py

@@ -74,7 +74,7 @@ def _process(item, is_train):
 
         maybe_example['src'] = {"src": ' '.join(maybe_example['src'])}
 
-        # Make features part of src as in MultiTextField
+        # Make features part of src as in TextMultiField
         # {'src': {'src': ..., 'feat1': ...., 'feat2': ....}}
         if 'src_feats' in maybe_example:
             for feat_name, feat_value in maybe_example['src_feats'].items():

onmt/inputters/text_dataset.py

@@ -18,7 +18,7 @@ def read(self, sequences, side, features={}):
             side (str): Prefix used in return dict. Usually
                 ``"src"`` or ``"tgt"``.
             features: (Dict[str or Iterable[str]]):
-                dictionary mapping feature names with th path to feature
+                dictionary mapping feature names with the path to feature
                 file or iterable of the actual feature data.
 
         Yields: