The Ultra Handy Japanese and English Example Sentence Finder
Enter an English word or Japanese characters to find example Japanese and English sentences
Example sentences including '正'
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These sentences are mainly from the
Tanaka Corpus and Tatoeaba project.
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I know him to be honest.
彼が正直なのを知っている。
Light source, that is what direction the light is facing, also take care with shadowing. Just copy down into the sketch book you have at hand as accurately as possible.
Poverty with honesty is preferable to wealth obtained by unfair means.
誠実であって貧しいのは不正な手段で得られた富より望ましい。
The train is due at noon.
列車は正午に到着するはずです。
She was released on the grounds that she was insane.
彼女は正気でないという理由で釈放された。
Either you are right or he is.
君か彼かどちらかが正しい。
I am of the opinion that she is right.
彼女は正しいというのが私の意見です。
She steered our efforts in the right direction.
彼女は私たちの努力を正しい方向に導いてくれた。
I have lunch at noon with my friends.
正午に友達とお昼を食べます。
I believe I am in the right.
私は自分が正しいと信じています。
As far as I know, he is honest.
私の知る限りでは彼は正直だ。
Don't tell lies. Tell the truth.
うそをつくな、正直であれ。
Please correct that.
そこを訂正してください。
I have lunch at noon.
私は正午に昼食を食べます。
The English are known for their courtesy.
イギリス人は礼儀正しいことで知られている。
He expressed his belief in her honesty.
彼は彼女の正直さを信頼していると言った。
The Diet is likely to amend this unpopular law.
国会は多分この不評の法律を改正するだろう。
She is not only kind but honest.
彼女は親切なばかりでなく正直である。
I knew at a glance that he was an honest man.
私は一見して彼が正直者だとわかった。
Where exactly did you find that?
正確にはどこでそれを見つけたのですか。
It goes without saying that honesty is the best policy.
いうまでもなく、正直は最良の策である。
You might be right.
あなたは正しいかも知れません。
I am not wholly convinced that you are right.
私は君が正しいと全く確信しているわけではない。
Formal dress must be worn.
正装着用です。
The noon siren is blowing.
正午のサイレンが鳴っている。
Him, honest? What a joke!
正直が聞いて呆れるよ。
Give me an accurate report of what happened.
何が起こったのか正確な報告をしなさい。
It's so easy to write good example sentences, that even if we accidentally delete a few good sentences in the process of getting rid of a whole lot of bad ones, I think we could drastically improve the quality of this corpus by doing a lot of deleting.