PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (373 utterances, 1,434 words searched).

  1. what's that ? MOT · eng_british_Manchester_II/liz06a.cha, line 271 · Liz 2;00
  2. what's it ? INV · eng_british_Manchester_II/liz06a.cha, line 800 · Liz 2;00
  3. what's the matter ? MOT · eng_british_Manchester_II/liz06a.cha, line 822 · Liz 2;00
  4. what's that ? MOT · eng_british_Manchester_II/liz06a.cha, line 1006 · Liz 2;00
  5. what's this ? MOT · eng_british_Manchester_II/liz06a.cha, line 1044 · Liz 2;00
  6. what's that one ? MOT · eng_british_Manchester_II/liz06a.cha, line 1198 · Liz 2;00
  7. what's that ? MOT · eng_british_Manchester_II/liz06a.cha, line 1206 · Liz 2;00
  1. eng_british_Manchester_II/liz06a.cha, line 271 · Liz, 2;0.28
    MOTwhat are these ?
    CHIthis .
    MOT*MOT: what's that ?
    CHIlizard .
    MOTa lizard yeah .
  2. eng_british_Manchester_II/liz06a.cha, line 800 · Liz, 2;0.28
    INVoh: what've you got there ?
    CHIwhat's it ?
    INV*INV: what's it ?
    INVare they lids ?
    CHIyeah .
  3. eng_british_Manchester_II/liz06a.cha, line 822 · Liz, 2;0.28
    MOToh: I was half way down Liz .
    MOTcouldn't get up again .
    MOT*MOT: what's the matter ?
    CHIdrop [*] it .
    MOTis that nice ?
  4. eng_british_Manchester_II/liz06a.cha, line 1006 · Liz, 2;0.28
    CHIexcuse you .
    CHIthis ?
    MOT*MOT: what's that ?
    CHIbee .
    MOTa bee .
  5. eng_british_Manchester_II/liz06a.cha, line 1044 · Liz, 2;0.28
    CHIgot .
    CHIwe got .
    MOT*MOT: what's this ?
    CHIwhat's this ?
    CHI(heli)copter .
  6. eng_british_Manchester_II/liz06a.cha, line 1198 · Liz, 2;0.28
    CHIlike a nana .
    MOToh that looks like a nana , doesn't it ?
    MOT*MOT: what's that one ?
    CHIladybird .
    MOTyeah .
  7. eng_british_Manchester_II/liz06a.cha, line 1206 · Liz, 2;0.28
    MOTyeah .
    MOToh and look .
    MOT*MOT: what's that ?
    MOTwe saw some of those on the carpet yesterday .
    CHIcarpet .

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. Liz eng_british_Manchester_II4.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz06a.chaLiz 2;0.281,434774.88

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. what's7 · 100.0%