PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (401 utterances, 1,580 words searched).

  1. is he ? INV · eng_british_Manchester_II/liz04a.cha, line 25 · Liz 2;00
  2. he's looking at the trucks . MOT · eng_british_Manchester_II/liz04a.cha, line 265 · Liz 2;00
  3. what is he doing ? MOT · eng_british_Manchester_II/liz04a.cha, line 298 · Liz 2;00
  4. what's he doing ? MOT · eng_british_Manchester_II/liz04a.cha, line 326 · Liz 2;00
  5. you know what he's doing . MOT · eng_british_Manchester_II/liz04a.cha, line 328 · Liz 2;00
  6. he's waving . MOT · eng_british_Manchester_II/liz04a.cha, line 332 · Liz 2;00
  7. what else does he want ? MOT · eng_british_Manchester_II/liz04a.cha, line 757 · Liz 2;00
  1. eng_british_Manchester_II/liz04a.cha, line 25 · Liz, 2;0.14
    INVis the man gonna [: going to] come and fix it ?
    CHIyeah .
    INV*INV: is he ?
    INVnext week .
    MOThope so .
  2. eng_british_Manchester_II/liz04a.cha, line 265 · Liz, 2;0.14
    MOToh: .
    CHIhe's doing ?
    MOT*MOT: he's looking at the trucks .
    CHIlooking trucks .
    MOTmmhm .
  3. eng_british_Manchester_II/liz04a.cha, line 298 · Liz, 2;0.14
    CHIhe's doing ?
    CHIhe doing ?
    MOT*MOT: what is he doing ?
    CHIhe doing .
    CHIno Thomas .
  4. eng_british_Manchester_II/liz04a.cha, line 326 · Liz, 2;0.14
    MOTmmhm .
    MOTthe Fat_Controller's +//.
    MOT*MOT: what's he doing ?
    MOTyou know what he's doing .
    CHIhe's doing ?
  5. eng_british_Manchester_II/liz04a.cha, line 328 · Liz, 2;0.14
    MOTthe Fat_Controller's +//.
    MOTwhat's he doing ?
    MOT*MOT: you know what he's doing .
    CHIhe's doing ?
    MOThe's waving .
  6. eng_british_Manchester_II/liz04a.cha, line 332 · Liz, 2;0.14
    MOTyou know what he's doing .
    CHIhe's doing ?
    MOT*MOT: he's waving .
    CHIhe's waving .
    MOTyeah waving .
  7. eng_british_Manchester_II/liz04a.cha, line 757 · Liz, 2;0.14
    MOTteddy's nose .
    MOTteddy's mouth .
    MOT*MOT: what else does he want ?
    CHIbuttons .
    MOTsome buttons .

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_II4.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz04a.chaLiz 2;0.141,580774.43

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. he7 · 100.0%