diff --git a/machine/jobs/huggingface/hugging_face_nmt_model_factory.py b/machine/jobs/huggingface/hugging_face_nmt_model_factory.py
index e0e9cb6..ce44c75 100644
--- a/machine/jobs/huggingface/hugging_face_nmt_model_factory.py
+++ b/machine/jobs/huggingface/hugging_face_nmt_model_factory.py
@@ -3,6 +3,7 @@
 
 from transformers import AutoConfig, AutoModelForSeq2SeqLM, HfArgumentParser, PreTrainedModel, Seq2SeqTrainingArguments
 from transformers.integrations import ClearMLCallback
+from transformers.tokenization_utils import TruncationStrategy
 
 from ...corpora.parallel_text_corpus import ParallelTextCorpus
 from ...corpora.text_corpus import TextCorpus
@@ -72,6 +73,7 @@ def create_engine(self) -> TranslationEngine:
             device=self._config.huggingface.generate_params.device,
             num_beams=self._config.huggingface.generate_params.num_beams,
             batch_size=self._config.huggingface.generate_params.batch_size,
+            truncation=TruncationStrategy.LONGEST_FIRST,
         )
 
     def save_model(self) -> None:
diff --git a/machine/translation/huggingface/hugging_face_nmt_engine.py b/machine/translation/huggingface/hugging_face_nmt_engine.py
index 7ae01fa..2f96182 100644
--- a/machine/translation/huggingface/hugging_face_nmt_engine.py
+++ b/machine/translation/huggingface/hugging_face_nmt_engine.py
@@ -93,7 +93,7 @@ def close(self) -> None:
 
 
 class _TranslationPipeline(TranslationPipeline):
-    def preprocess(self, *args, truncation=TruncationStrategy.LONGEST_FIRST, src_lang=None, tgt_lang=None):
+    def preprocess(self, *args, truncation=TruncationStrategy.DO_NOT_TRUNCATE, src_lang=None, tgt_lang=None):
         if self.tokenizer is None:
             raise RuntimeError("No tokenizer is specified.")
         sentences = [