PHPCLANCHILDES with regular expressions

8 matches in 6 utterances

10.80 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (216 utterances, 741 words searched).

  1. shall we get them out ? MOT · eng_british_Manchester_II/liz24a.cha, line 52 · Liz 2;07
  2. do you want to get them from under the table ? MOT · eng_british_Manchester_II/liz24a.cha, line 54 · Liz 2;07
  3. oh who put them away like that ? MOT · eng_british_Manchester_II/liz24a.cha, line 265 · Liz 2;07
  4. look at them . MOT · eng_british_Manchester_II/liz24a.cha, line 271 · Liz 2;07
  5. how can we start playing with them ? MOT · eng_british_Manchester_II/liz24a.cha, line 273 · Liz 2;07
  6. I think we'll break them all up <when we put them together> [//] when we put them away . MOT · eng_british_Manchester_II/liz24a.cha, line 879 · Liz 2;07
  7. I think we'll break them all up <when we put them together> [//] when we put them away . MOT · eng_british_Manchester_II/liz24a.cha, line 879 · Liz 2;07
  8. … we'll break them all up <when we put them together> [//] when we put them away . MOT · eng_british_Manchester_II/liz24a.cha, line 879 · Liz 2;07
  1. MOTyes .
    MOTif you like .
    MOT*MOT: shall we get them out ?
    MOTdo you want to get them from under the table ?
    CHIyeah .
  2. MOTif you like .
    MOTshall we get them out ?
    MOT*MOT: do you want to get them from under the table ?
    CHIyeah .
    MOToh: .
  3. CHIone three four five six seven .
    MOTright .
    MOT*MOT: oh who put them away like that ?
    CHIdaddy .
    MOTyes I know .
  4. CHIdaddy .
    MOTyes I know .
    MOT*MOT: look at them .
    MOThow can we start playing with them ?
    MOTit's already done .
  5. MOTyes I know .
    MOTlook at them .
    MOT*MOT: how can we start playing with them ?
    MOTit's already done .
    CHIthat .
  6. MOTare you ?
    CHIyeah .
    MOT*MOT: I think we'll break them all up <when we put them together> [//] when we put them away .
    MOTand daddy'll say who broke my house up , won't [: willn't] he ?
    MOTis that heavy that ?

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_II10.80
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz24a.chaLiz 2;7.037416810.80

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. them8 · 100.0%