PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (453 utterances, 1,834 words searched).

  1. panda's here . MOT · eng_british_Manchester_I/becky05b.cha, line 515 · Becky 2;01
  2. panda's going in , is he ? MOT · eng_british_Manchester_I/becky05b.cha, line 654 · Becky 2;01
  3. the panda . MOT · eng_british_Manchester_I/becky05b.cha, line 667 · Becky 2;01
  4. leave panda then . MOT · eng_british_Manchester_I/becky05b.cha, line 673 · Becky 2;01
  5. I thought you wanted panda and dolly to go in . MOT · eng_british_Manchester_I/becky05b.cha, line 683 · Becky 2;01
  6. a panda . MOT · eng_british_Manchester_I/becky05b.cha, line 1375 · Becky 2;01
  7. panda was in bed , wasn't he ? MOT · eng_british_Manchester_I/becky05b.cha, line 1381 · Becky 2;01
  8. where was the panda ? MOT · eng_british_Manchester_I/becky05b.cha, line 1385 · Becky 2;01
  1. MOTno ?
    CHIgone .
    MOT*MOT: panda's here .
    CHIcar .
    MOTwhee [x 2] .
  2. MOTwho are you putting in the car now ?
    CHIum panda .
    MOT*MOT: panda's going in , is he ?
    CHImmhm .
    MOTI'm not sure that dolly will fit in .
  3. MOTshe'll probably fit in .
    MOTno .
    MOT*MOT: the panda .
    MOTno ?
    CHIyeah .
  4. MOTno ?
    CHIyeah .
    MOT*MOT: leave panda then .
    CHIxxx panda .
    CHIno [=! s] .
  5. MOToh I'm sorry what ?
    CHIno [*] in there .
    MOT*MOT: I thought you wanted panda and dolly to go in .
    MOTBecky ?
    MOTwho do you want in the car then ?
  6. MOTwhat can you see in this picture ?
    CHIpanda .
    MOT*MOT: a panda .
    CHIpanda .
    CHIbed .
  7. CHIpanda .
    CHIbed .
    MOT*MOT: panda was in bed , wasn't he ?
    CHIyeah .
    MOTwhere was the panda ?
  8. MOTpanda was in bed , wasn't he ?
    CHIyeah .
    MOT*MOT: where was the panda ?
    MOThuh ?
    MOTwhere was he ?

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_I4.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky05b.chaBecky 2;1.241,834884.36

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. panda8 · 100.0%