PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.91 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (570 utterances, 2,402 words searched).

  1. let's see. MOT · downs-flusberg/kate01.cha, line 223
  2. see? MOT · downs-flusberg/kate01.cha, line 540
  3. let me just go see what jeffrey's doing. MOT · downs-flusberg/kate01.cha, line 543
  4. let kathy see too. MOT · downs-flusberg/kate01.cha, line 658
  5. see? MOT · downs-flusberg/kate01.cha, line 685
  6. helen wants to see what that is. MOT · downs-flusberg/kate01.cha, line 1011
  7. it's to see how tall you are. MOT · downs-flusberg/kate01.cha, line 1031
  1. downs-flusberg/kate01.cha, line 223
    CHI<col> [/?] +/.
    MOTno, well <we colored> [/?] we colored a little while ago.
    MOT*MOT: let's see.
    MOT<oh> [/?] I know.
    MOTwhat if we get some of your little dolls with furniture?
  2. downs-flusberg/kate01.cha, line 540
    MOT<alpha> [/?] alphabet cookies.
    CHIalphabet cookies.
    MOT*MOT: see?
    CHIhere's that.
    CHI<jeff> [/?] hear jeffrey.
  3. downs-flusberg/kate01.cha, line 543
    CHIhere's that.
    CHI<jeff> [/?] hear jeffrey.
    MOT*MOT: let me just go see what jeffrey's doing.
    MOT<you finish> [/?] give patty some dinner, ok?
    MOTpatty's hungry.
  4. downs-flusberg/kate01.cha, line 658
    CHII gonna open this.
    MOTok, you open it.
    MOT*MOT: let kathy see too.
    MOT<oh> [/?] what's this?
    CHIpuzzle.
  5. downs-flusberg/kate01.cha, line 685
    MOT<no no no> [/?] no.
    MOT<there the> [/?] look.
    MOT*MOT: see?
    MOTwhen you lift up this paper the marks go away.
    MOTit's like erasing.
  6. downs-flusberg/kate01.cha, line 1011
    MOTbring it over here and show helen kell.
    MOTkate, bring it over here.
    MOT*MOT: helen wants to see what that is.
    CHItoolbox.
    MOTover here.
  7. downs-flusberg/kate01.cha, line 1031
    CHIwhat this?
    MOTthat's a <um> [/?] measuring tape.
    MOT*MOT: it's to see how tall you are.
    MOTboy, looks like it's stuck.
    MOTno, you have your fingers in the way.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Kate downs-flusberg2.91
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/kate01.chaKate 2,402772.91

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. see7 · 100.0%