PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (474 utterances, 1,586 words searched).

  1. and how does he go up there ? MOT · eng_british_Manchester_I/becky01a.cha, line 88 · Becky 2;00
  2. how does the train go ? MOT · eng_british_Manchester_I/becky01a.cha, line 376 · Becky 2;00
  3. how's he go ? MOT · eng_british_Manchester_I/becky01a.cha, line 393 · Becky 2;00
  4. and how manys@n [*] pots have you got ? MOT · eng_british_Manchester_I/becky01a.cha, line 1363 · Becky 2;00
  5. <how does> [<] horsie go ? MOT · eng_british_Manchester_I/becky01a.cha, line 1795 · Becky 2;00
  6. how does he go again ? MOT · eng_british_Manchester_I/becky01a.cha, line 1802 · Becky 2;00
  1. eng_british_Manchester_I/becky01a.cha, line 88 · Becky, 2;0.07
    MOTwhat is this Becky ?
    CHIup there .
    MOT*MOT: and how does he go up there ?
    CHIup there .
    CHIup there .
  2. eng_british_Manchester_I/becky01a.cha, line 376 · Becky, 2;0.07
    CHIfishy .
    MOTthere you are .
    MOT*MOT: how does the train go ?
    CHIchoo^choo@o .
    MOTare you gonna [: going to] push the train along ?
  3. eng_british_Manchester_I/becky01a.cha, line 393 · Becky, 2;0.07
    MOTgo xxx .
    MOTpush it along here .
    MOT*MOT: how's he go ?
    CHIround .
    MOTwhat ?
  4. eng_british_Manchester_I/becky01a.cha, line 1363 · Becky, 2;0.07
    MOTput that on there .
    MOTthat's a girl .
    MOT*MOT: and how manys@n [*] pots have you got ?
    CHIone .
    CHItwo .
  5. eng_british_Manchester_I/becky01a.cha, line 1795 · Becky, 2;0.07
    CHIride xxx .
    CHIxxx [>] .
    MOT*MOT: <how does> [<] horsie go ?
    CHIneigh^neigh^neigh@o .
    MOTdon't lean back then for goodness sake .
  6. eng_british_Manchester_I/becky01a.cha, line 1802 · Becky, 2;0.07
    CHIneigh^neigh^neigh@o .
    MOTdon't lean back then for goodness sake .
    MOT*MOT: how does he go again ?
    CHIchoo^choo@o .
    MOTthat's a train .

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. Becky eng_british_Manchester_I3.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky01a.chaBecky 2;0.071,586663.78

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. how6 · 100.0%