From 3eb0440b58d28804ba9f89026518671fd7630046 Mon Sep 17 00:00:00 2001
From: "Chen, Chien-ting" <chenjt30@gmail.com>
Date: Sat, 14 Aug 2021 21:42:26 +0800
Subject: [PATCH] =?UTF-8?q?fix=20=E7=A7=81->=E6=88=91?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 README.md         | 2 +-
 pseudo-chinese.py | 5 +++--
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 0874d1e..091aa53 100644
--- a/README.md
+++ b/README.md
@@ -7,7 +7,7 @@ This tool will automatically generate fake Chinese from Japanese sentences.
 Using MeCab to parse and word-tag Japanese sentences instead of COTOHA API.
 
 ## Demo
-私は本日定時退社します -> 我本日定時退社為
+私は本日定時退社します -> 我本日定時退社
 
 私はお酒を飲みたい -> 我御酒飲欲
 
diff --git a/pseudo-chinese.py b/pseudo-chinese.py
index 35415e2..3146cb0 100644
--- a/pseudo-chinese.py
+++ b/pseudo-chinese.py
@@ -69,8 +69,6 @@ if __name__ == "__main__":
 				prime = token["lemma"]
 
 
-			if token['lemma'] == '私-代名詞':
-				prime = '我'
 
 			if (token['lemma'] == '君' or token['lemma'] == '貴方' or token['lemma'] == 'お前'):
 				prime = '你'
@@ -83,6 +81,9 @@ if __name__ == "__main__":
 			if compound_matched:
 				prime = compound_matched.group(1)
 
+			if token['lemma'] == '私-代名詞':
+				prime = '我'
+
 			if len(token["features"]) != 0:
 				if "連体形-一般" in token['features']:
 					if token['lemma'] == 'ない':