diff --git a/pyproject.toml b/pyproject.toml
index f9b7819..53a54df 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "fast-langdetect"
-version = "0.1.1"
+version = "0.2.0"
 description = "Quickly detect text language and segment language"
 authors = [
     { name = "sudoskys", email = "coldlando@hotmail.com" },
diff --git a/src/fast_langdetect/__init__.py b/src/fast_langdetect/__init__.py
index 09218e4..d55834a 100644
--- a/src/fast_langdetect/__init__.py
+++ b/src/fast_langdetect/__init__.py
@@ -1,4 +1,3 @@
 # -*- coding: utf-8 -*-
 
 from .ft_detect import detect, detect_langs, detect_multilingual  # noqa: F401
-from .split import parse_sentence  # noqa: F401
diff --git a/src/fast_langdetect/split/__init__.py b/src/fast_langdetect/split/__init__.py
deleted file mode 100644
index 94371ec..0000000
--- a/src/fast_langdetect/split/__init__.py
+++ /dev/null
@@ -1,66 +0,0 @@
-# -*- coding: utf-8 -*-
-# @Time    : 2024/1/17 下午4:23
-# @Author  : sudoskys
-# @File    : __init__.py.py
-from typing import List
-
-from .cut import CutSentence
-from ..ft_detect import detect_langs
-
-CUT = CutSentence()
-
-
-def _merge_cell(result: List[dict]) -> List[dict]:
-    _merged = []
-    _cache = []
-    last_lang = None
-    for _result in result:
-        if _result["lang"] == last_lang:
-            _cache.append(_result["text"])
-        else:
-            if _cache:
-                _length = sum([len(_c) for _c in _cache])
-                _merged.append({"text": "".join(_cache), "lang": last_lang, "length": _length})
-            _cache = [_result["text"]]
-            last_lang = _result["lang"]
-    if _cache:
-        _length = sum([len(_c) for _c in _cache])
-        _merged.append({"text": "".join(_cache), "lang": last_lang, "length": _length})
-    return _merged
-
-
-def parse_sentence(sentence: str,
-                   merge_same: bool = True,
-                   cell_limit: int = 150,
-                   filter_space: bool = True,
-                   low_memory: bool = True
-                   ) -> list:
-    """
-    Parse sentence
-    :param sentence:
-    :param merge_same:
-    :param cell_limit:
-    :param filter_space:
-    :param low_memory:
-    :return:
-    """
-
-    cut_list = CUT.chinese_sentence_cut(sentence)
-    _cut_list = []
-    for _cut in cut_list:
-        if len(_cut) > cell_limit:
-            _text_list = [_cut[i:i + cell_limit] for i in range(0, len(_cut), cell_limit)]
-            _cut_list.extend(_text_list)
-        else:
-            _cut_list.append(_cut)
-    _result = []
-    for _cut in _cut_list:
-        _lang = detect_langs(_cut, low_memory=low_memory)
-        if not filter_space:
-            _result.append({"text": _cut, "lang": _lang, "length": len(_cut)})
-        else:
-            if _lang:
-                _result.append({"text": _cut, "lang": _lang, "length": len(_cut)})
-    if merge_same:
-        _result = _merge_cell(_result)
-    return _result
diff --git a/src/fast_langdetect/split/cut.py b/src/fast_langdetect/split/cut.py
deleted file mode 100644
index e6cea7d..0000000
--- a/src/fast_langdetect/split/cut.py
+++ /dev/null
@@ -1,59 +0,0 @@
-# -*- coding: utf-8 -*-
-# @Time    : 2024/1/17 下午8:27
-# @Author  : sudoskys
-# @File    : cut.py
-# @Software: PyCharm
-import re
-
-
-class CutSentence(object):
-    @staticmethod
-    def english_sentence_cut(text) -> list:
-        list_ = list()
-        for s_str in text.split('.'):
-            if '?' in s_str:
-                list_.extend(s_str.split('?'))
-            elif '!' in s_str:
-                list_.extend(s_str.split('!'))
-            else:
-                list_.append(s_str)
-        return list_
-
-    @staticmethod
-    def chinese_sentence_cut(text) -> list:
-        """
-        中文断句
-        """
-        text = re.sub('([^\n])([.!?。！？]+)(?!\d|[a-zA-Z]|[^\s\u4e00-\u9fa5\u3040-\u309f\u30a0-\u30ff\uac00-\ud7a3])',
-                      r'\1\2\n', text)  # 根据句子末尾的标点符号进行切分
-        text = re.sub('([。：:！？\?])([^’”])', r'\1\n\2', text)  # 根据中文断句符号进行切分
-        text = re.sub('(\.{6})([^’”])', r'\1\n\2', text)  # 普通断句符号且后面没有引号
-        text = re.sub('(\…{2})([^’”])', r'\1\n\2', text)  # 英文省略号且后面没有引号
-        text = re.sub('([.。！？\?\.{6}\…{2}][’”])([^’”])', r'\1\n\2', text)  # 中文省略号且后面没有引号
-        text = re.sub('(\. )([^a-zA-Z\d])', r'\1\n\2', text)  # 根据英文断句号+空格进行切分
-        text = re.sub('\n\n+', '\n', text)  # 删除多余的换行符
-        return text.split("\n")  # 断句号+引号且后面没有引号
-
-    def cut_chinese_sentence(self, text):
-        """
-        中文断句
-        """
-        p = re.compile("“.*?”")
-        listr = []
-        index = 0
-        for i in p.finditer(text):
-            temp = ''
-            start = i.start()
-            end = i.end()
-            for j in range(index, start):
-                temp += text[j]
-            if temp != '':
-                temp_list = self.chinese_sentence_cut(temp)
-                listr += temp_list
-            temp = ''
-            for k in range(start, end):
-                temp += text[k]
-            if temp != ' ':
-                listr.append(temp)
-            index = end
-        return listr