🌐 [i18n-KO] Translated feature_extractor.md to Korean (#33775)

* docs: ko: feature_extractor.md

* feat: nmt draft

* fix: manual edits

docs/source/ko/_toctree.yml

@@ -306,8 +306,8 @@
       title: Trainer
     - local: deepspeed
       title: DeepSpeed
-    - local: in_translation
-      title: (번역중) Feature Extractor
+    - local: main_classes/feature_extractor
+      title: 특성 추출기
     - local: in_translation
       title: (번역중) Image Processor
     title: (번역중) 메인 클래스

docs/source/ko/main_classes/feature_extractor.md

@@ -0,0 +1,39 @@
+<!--Copyright 2021 The HuggingFace Team. All rights reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
+the License. You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
+an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
+specific language governing permissions and limitations under the License.
+
+⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
+rendered properly in your Markdown viewer.
+
+-->
+
+# 특성 추출기 [[feature-extractor]]
+
+특성 추출기는 오디오 또는 비전 모델을 위한 입력 특성을 준비하는 역할을 합니다. 여기에는 시퀀스에서 특성을 추출하는 작업(예를 들어, 오디오 파일을 전처리하여 Log-Mel 스펙트로그램 특성을 생성하는 것), 이미지에서 특성을 추출하는 작업(예를 들어, 이미지 파일을 자르는 것)이 포함됩니다. 뿐만 아니라 패딩, 정규화 및 NumPy, PyTorch, TensorFlow 텐서로의 변환도 포함됩니다.
+
+
+## FeatureExtractionMixin [[transformers.FeatureExtractionMixin]]
+
+[[autodoc]] feature_extraction_utils.FeatureExtractionMixin
+    - from_pretrained
+    - save_pretrained
+
+## SequenceFeatureExtractor [[transformers.SequenceFeatureExtractor]]
+
+[[autodoc]] SequenceFeatureExtractor
+    - pad
+
+## BatchFeature [[transformers.BatchFeature]]
+
+[[autodoc]] BatchFeature
+
+## ImageFeatureExtractionMixin [[transformers.ImageFeatureExtractionMixin]]
+
+[[autodoc]] image_utils.ImageFeatureExtractionMixin