PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,712 words searched).

  1. you have to hold the paper . MOT · eng_USA_Brown/sarah093.cha, line 258 · Sarah 4;01
  2. see how I hold it ? MEL · eng_USA_Brown/sarah093.cha, line 867 · Sarah 4;01
  3. it seems so funny to hold scissors that way . MEL · eng_USA_Brown/sarah093.cha, line 901 · Sarah 4;01
  4. hold your fingers # yeah . MOT · eng_USA_Brown/sarah093.cha, line 1027 · Sarah 4;01
  5. +, just to be able to hold them . MOT · eng_USA_Brown/sarah093.cha, line 1031 · Sarah 4;01
  1. eng_USA_Brown/sarah093.cha, line 258 · Sarah, 4;1.28
    MOTyeah .
    MOTthis way .
    MOT*MOT: you have to hold the paper .
    CHIoh # like that ?
    CHIknow how to cut now .
  2. eng_USA_Brown/sarah093.cha, line 867 · Sarah, 4;1.28
    MELSarah # try holding it here and here # and then you can move it wider .
    MELsee # put your finger like this .
    MEL*MEL: see how I hold it ?
    MELyou're doing this and then <you can't> [/] # you can't hardly squeeze it .
    MELput it more at the end of your fingers and then you can cut better .
  3. eng_USA_Brown/sarah093.cha, line 901 · Sarah, 4;1.28
    MELpretty good .
    CHII can cut it a little bit .
    MEL*MEL: it seems so funny to hold scissors that way .
    MOTway down here .
    MOTcutting with a giant scissors # gardening shears .
  4. eng_USA_Brown/sarah093.cha, line 1027 · Sarah, 4;1.28
    CHIhere's a tiger .
    MELyou forget that you have to learn to work scissors and learn how to control what you're doing .
    MOT*MOT: hold your fingers # yeah .
    MELit seems so automatic to be able to +...
    MOT+, just to be able to hold them .
  5. eng_USA_Brown/sarah093.cha, line 1031 · Sarah, 4;1.28
    MOThold your fingers # yeah .
    MELit seems so automatic to be able to +...
    MOT*MOT: +, just to be able to hold them .
    MOTnow what ?
    CHItiger .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

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

  1. Sarah eng_USA_Brown2.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah093.chaSarah 4;1.281,712552.92

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. hold5 · 100.0%