diff --git a/.vscode/launch.json b/.vscode/launch.json
index e43ba65..e7cdd07 100755
--- a/.vscode/launch.json
+++ b/.vscode/launch.json
@@ -10,6 +10,9 @@
       "request": "launch",
       "program": "${file}",
       "console": "integratedTerminal",
+      "env": {
+        "PYTHONPATH": "${workspaceFolder}:${workspaceFolder}/tests"
+      },
       "justMyCode": true
     },
     {
diff --git a/machine/jobs/thot/thot_word_alignment_model_factory.py b/machine/jobs/thot/thot_word_alignment_model_factory.py
index c5e2e8c..7ba92b4 100644
--- a/machine/jobs/thot/thot_word_alignment_model_factory.py
+++ b/machine/jobs/thot/thot_word_alignment_model_factory.py
@@ -14,6 +14,7 @@
 class ThotWordAlignmentModelFactory(WordAlignmentModelFactory):
 
     def create_model_trainer(self, tokenizer: Tokenizer[str, int, str], corpus: ParallelTextCorpus) -> Trainer:
+        (self._model_dir / "tm").mkdir(parents=True, exist_ok=True)
         direct_trainer = ThotWordAlignmentModelTrainer(
             self._config.thot.word_alignment_model_type,
             corpus.lowercase(),
diff --git a/tests/translation/thot/test_thot_smt_model_trainer.py b/tests/translation/thot/test_thot_smt_model_trainer.py
index dff454c..5be7e4c 100644
--- a/tests/translation/thot/test_thot_smt_model_trainer.py
+++ b/tests/translation/thot/test_thot_smt_model_trainer.py
@@ -1,9 +1,9 @@
 import os
 from tempfile import TemporaryDirectory
 
-from machine.translation.thot import ThotSmtModel, ThotSmtModelTrainer, ThotSmtParameters, ThotWordAlignmentModelType
+from translation.thot.thot_model_trainer_helper import get_emtpy_parallel_corpus, get_parallel_corpus
 
-from .thot_model_trainer_helper import get_emtpy_parallel_corpus, get_parallel_corpus
+from machine.translation.thot import ThotSmtModel, ThotSmtModelTrainer, ThotSmtParameters, ThotWordAlignmentModelType
 
 
 def test_train_non_empty_corpus() -> None:
diff --git a/tests/translation/thot/test_thot_word_alignment_model_trainer.py b/tests/translation/thot/test_thot_word_alignment_model_trainer.py
index 7ef2d80..d5b69c6 100644
--- a/tests/translation/thot/test_thot_word_alignment_model_trainer.py
+++ b/tests/translation/thot/test_thot_word_alignment_model_trainer.py
@@ -1,21 +1,24 @@
 from pathlib import Path
 from tempfile import TemporaryDirectory
 
+from translation.thot.thot_model_trainer_helper import get_emtpy_parallel_corpus, get_parallel_corpus
+
 from machine.corpora.parallel_text_corpus import ParallelTextCorpus
-from machine.tokenization.whitespace_tokenizer import WhitespaceTokenizer
+from machine.tokenization import StringTokenizer, WhitespaceTokenizer
 from machine.translation.symmetrized_word_alignment_model_trainer import SymmetrizedWordAlignmentModelTrainer
 from machine.translation.thot import ThotWordAlignmentModelTrainer
 from machine.translation.thot.thot_symmetrized_word_alignment_model import ThotSymmetrizedWordAlignmentModel
 from machine.translation.thot.thot_word_alignment_model_utils import create_thot_word_alignment_model
 from machine.translation.word_alignment_matrix import WordAlignmentMatrix
 
-from .thot_model_trainer_helper import get_emtpy_parallel_corpus, get_parallel_corpus
-
 
 def train_model(
-    corpus: ParallelTextCorpus, direct_model_path: Path, inverse_model_path: Path, thot_word_alignment_model_type: str
+    corpus: ParallelTextCorpus,
+    direct_model_path: Path,
+    inverse_model_path: Path,
+    thot_word_alignment_model_type: str,
+    tokenizer: StringTokenizer,
 ):
-    tokenizer = WhitespaceTokenizer()
     direct_trainer = ThotWordAlignmentModelTrainer(
         thot_word_alignment_model_type,
         corpus.lowercase(),
@@ -32,41 +35,49 @@ def train_model(
     )
 
     with SymmetrizedWordAlignmentModelTrainer(direct_trainer, inverse_trainer) as trainer:
-        trainer.train()
+        trainer.train(lambda status: print(f"{status.message}: {status.percent_completed:.2%}"))
         trainer.save()
 
 
 def test_train_non_empty_corpus() -> None:
+    thot_word_alignment_model_type = "hmm"
+    tokenizer = WhitespaceTokenizer()
+    corpus = get_parallel_corpus()
+
     with TemporaryDirectory() as temp_dir:
-        corpus = get_parallel_corpus()
-        thot_word_alignment_model_type = "hmm"
         tmp_path = Path(temp_dir)
+        (tmp_path / "tm").mkdir()
         direct_model_path = tmp_path / "tm" / "src_trg_invswm"
         inverse_model_path = tmp_path / "tm" / "src_trg_swm"
-        train_model(corpus, direct_model_path, inverse_model_path, thot_word_alignment_model_type)
+        train_model(corpus, direct_model_path, inverse_model_path, thot_word_alignment_model_type, tokenizer)
         with ThotSymmetrizedWordAlignmentModel(
             create_thot_word_alignment_model(thot_word_alignment_model_type, direct_model_path),
             create_thot_word_alignment_model(thot_word_alignment_model_type, inverse_model_path),
         ) as model:
-            matrix = model.align("una habitación individual por semana", "a single room cost per week")
-            assert matrix == WordAlignmentMatrix.from_word_pairs(
-                6, 7, {(0, 0), (1, 1), (2, 2), (4, 3), (3, 4), (3, 5), (5, 6)}
+            matrix = model.align(
+                list(tokenizer.tokenize("una habitación individual por semana")),
+                list(tokenizer.tokenize("a single room cost per week")),
             )
+            assert matrix == WordAlignmentMatrix.from_word_pairs(5, 6, {(0, 2), (1, 2), (2, 3), (2, 4), (2, 5)})
 
 
 def test_train_empty_corpus() -> None:
+    thot_word_alignment_model_type = "hmm"
+    tokenizer = WhitespaceTokenizer()
+    corpus = get_emtpy_parallel_corpus()
     with TemporaryDirectory() as temp_dir:
-        corpus = get_emtpy_parallel_corpus()
-        thot_word_alignment_model_type = "hmm"
         tmp_path = Path(temp_dir)
         direct_model_path = tmp_path / "tm" / "src_trg_invswm"
         inverse_model_path = tmp_path / "tm" / "src_trg_swm"
-        train_model(corpus, direct_model_path, inverse_model_path, thot_word_alignment_model_type)
+        train_model(corpus, direct_model_path, inverse_model_path, thot_word_alignment_model_type, tokenizer)
         with ThotSymmetrizedWordAlignmentModel(
             create_thot_word_alignment_model(thot_word_alignment_model_type, direct_model_path),
             create_thot_word_alignment_model(thot_word_alignment_model_type, inverse_model_path),
         ) as model:
             matrix = model.align("una habitación individual por semana", "a single room cost per week")
-            assert matrix == WordAlignmentMatrix.from_word_pairs(
-                6, 7, {(0, 0), (1, 1), (2, 2), (4, 3), (3, 4), (3, 5), (5, 6)}
-            )
+            assert matrix == WordAlignmentMatrix.from_word_pairs(5, 6, {(0, 0)})
+
+
+if __name__ == "__main__":
+    test_train_non_empty_corpus()
+    test_train_empty_corpus()