She spends time with her grandmother every Sunday.
彼女は毎週日曜日を祖母と一緒に過ごす。
I'll join you in the library.
図書館で一緒になりましょう。
She accompanied her friend to the concert.
彼女は友達と一緒にコンサートへ行った。
We had always been close.
私たちは一緒にいた。
She told him once and for all that she would not go to the movie with him.
一緒には映画に行かない、と彼女は彼にきっぱり言った。
I told you that in confidence, so why did you tell Jane about it?
私は内緒でそれを君に話したのに、なぜジェーンにそれを話したんだ。
He's a different person when he's drunk, so I don't like to drink with him.
あいつ酔うと人が変わるから一緒に飲みたくないんだよ。
Will you join me for a drink?
一緒に飲みませんか。
Between you and me, he was dismissed for bribery.
内緒の話ですが、彼は収賄のために免職になったのです。
She is amusing to be with.
彼女と一緒にいると楽しい。
Tom had lunch with Mary.
トムさんはメアリさんと一緒に昼ご飯を食べました。
I am only too glad to be with you.
ご一緒できとてもうれしいです。
He had to share the hotel room with a stranger.
彼はホテルの部屋を知らない人と一緒に使わねばならなかった。
Would you play with me?
一緒に遊びませんか。
Would you like to play soccer with us?
私達と一緒にサッカーをしませんか。
Steve goes to school with Kate.
スティーブはケートと一緒に学校に行く。
Won't you have tea with us?
ご一緒にお茶をいかがですか。
Even disaster is better than such a divorce between emotion and action.
そのような情緒と行動の分離に比べれば、破局的結果の方がまだましである。
Tom is probably with Mary right now.
トムは多分今メアリーと一緒。
Why don't you come to the movies with me?
僕に一緒に映画を見に行かないか。
Do her ideas chime with yours?
彼女の考えはあなたと一緒ですか。
We mix with the good, not with the bad.
私たちはよい人とは一緒につきあうけれど、悪い人とはつき合わないわ。
I can't take this anymore. I've lost my temper completely.
もう我慢できん。堪忍袋の緒が切れた。
I feel comfortable in his company.
彼と一緒だと気が楽だ。
Being with her grandson always makes her happy.
孫と一緒にいると彼女はいつも楽しい。
How about going fishing with me?
一緒に魚釣りに行きませんか。
Oh, that's a secret, OK? Because slipping out of the dorm in the night is severely punished.
あ、みんなには内緒だよ？寮を夜中に抜け出すのは厳罰だからね？
You're coming with us now.
君は今私たちと一緒に来るのだ。
He wanted to come with us.
彼は私たちと一緒に来たがった。
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.
