PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (340 utterances, 1,369 words searched).

  1. well <give me> [//] put your lolly in there while you +... MOT · eng_british_Manchester_II/liz14a.cha, line 162 · Liz 2;03
  2. what else shall we put in it ? MOT · eng_british_Manchester_II/liz14a.cha, line 641 · Liz 2;03
  3. shall we put it away then ? MOT · eng_british_Manchester_II/liz14a.cha, line 755 · Liz 2;03
  4. so we don't put it in the bin . MOT · eng_british_Manchester_II/liz14a.cha, line 1151 · Liz 2;03
  5. well just put it in your cup . MOT · eng_british_Manchester_II/liz14a.cha, line 1158 · Liz 2;03
  1. eng_british_Manchester_II/liz14a.cha, line 162 · Liz, 2;3.27
    CHIstand up now .
    MOTmmhm .
    MOT*MOT: well <give me> [//] put your lolly in there while you +...
    MOTthat's it .
    MOToh: wobble wobble .
  2. eng_british_Manchester_II/liz14a.cha, line 641 · Liz, 2;3.27
    CHImake stairs .
    MOTyeah some stairs there .
    MOT*MOT: what else shall we put in it ?
    MOTdo you want another window there ?
    CHIyeah .
  3. eng_british_Manchester_II/liz14a.cha, line 755 · Liz, 2;3.27
    MOTyou don't want to play with the farm ?
    CHIno .
    MOT*MOT: shall we put it away then ?
    CHIyeah .
    CHIthere bricks .
  4. eng_british_Manchester_II/liz14a.cha, line 1151 · Liz, 2;3.27
    MOTbecause we make another lolly <out of> [//] with the stick , didn't we ?
    MOTwe use some more orange juice and we make more lollys .
    MOT*MOT: so we don't put it in the bin .
    CHII finish .
    MOTyou've had enough ?
  5. eng_british_Manchester_II/liz14a.cha, line 1158 · Liz, 2;3.27
    CHII finish .
    MOTyou've had enough ?
    MOT*MOT: well just put it in your cup .
    MOTand later on there'll be a drink of juice in there for you .
    CHIread this book .

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_II3.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz14a.chaLiz 2;3.271,369553.65

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. put5 · 100.0%