PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.39 per 1,000 words of the child (CHI), in 1 of 1 transcripts (585 utterances, 1,113 words searched).

  1. hello . CHI · eng_USA_Brown/sarah030.cha, line 430 · Sarah 2;09
  2. hello # Mummy . CHI · eng_USA_Brown/sarah030.cha, line 657 · Sarah 2;09
  3. hello # Mummy . CHI · eng_USA_Brown/sarah030.cha, line 680 · Sarah 2;09
  4. hello may . CHI · eng_USA_Brown/sarah030.cha, line 695 · Sarah 2;09
  5. hello Mommy . CHI · eng_USA_Brown/sarah030.cha, line 746 · Sarah 2;09
  6. hello # Courtney . CHI · eng_USA_Brown/sarah030.cha, line 981 · Sarah 2;09
  1. eng_USA_Brown/sarah030.cha, line 430 · Sarah, 2;9.20
    MOTnow talk to Mummy on the telephone .
    MOTyes # and what else do you say ?
    CHI*CHI: hello .
    MOTaren't you gonna ask her how she is ?
    MOTwhat ?
  2. eng_USA_Brown/sarah030.cha, line 657 · Sarah, 2;9.20
    MOTthat's good .
    CHIxxx .
    CHI*CHI: hello # Mummy .
    MOTMummy's in there # uhhuh .
    MOTis she looking at you ?
  3. eng_USA_Brown/sarah030.cha, line 680 · Sarah, 2;9.20
    MOTcan she talk to you ?
    CHIyeah .
    CHI*CHI: hello # Mummy .
    CHIhe won't talk .
    CHIhe won't talk .
  4. eng_USA_Brown/sarah030.cha, line 695 · Sarah, 2;9.20
    MOTshe's listening to you .
    MOTshe wants to hear you talk .
    CHI*CHI: hello may .
    CHI<uh uh uh> [/] uh .
    MOTask her when she's coming home ?
  5. eng_USA_Brown/sarah030.cha, line 746 · Sarah, 2;9.20
    MOTyour clothes ?
    MOTyour pajamas # you want your pajamas on ?
    CHI*CHI: hello Mommy .
    MOTsomebody's tired # are you tired ?
    CHIno .
  6. eng_USA_Brown/sarah030.cha, line 981 · Sarah, 2;9.20
    MOTare we taping your voice for Courtney ?
    MOTsay hello # Courtney .
    CHI*CHI: hello # Courtney .
    MOTsay hi # Gloria .
    CHIhi # Gloria .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown5.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah030.chaSarah 2;9.201,113665.39

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. hello6 · 100.0%