PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (523 utterances, 2,040 words searched).

  1. now we can do a good pattern ,, can't we ? MOT · eng_british_Manchester_I/anne24b.cha, line 58 · Anne 2;06
  2. that one's a good piece . MOT · eng_british_Manchester_I/anne24b.cha, line 210 · Anne 2;06
  3. that's a good bridge . MOT · eng_british_Manchester_I/anne24b.cha, line 255 · Anne 2;06
  4. that was a good tunnel . MOT · eng_british_Manchester_I/anne24b.cha, line 605 · Anne 2;06
  5. you've made a good field ,, haven't you ? MOT · eng_british_Manchester_I/anne24b.cha, line 861 · Anne 2;06
  6. good idea . MOT · eng_british_Manchester_I/anne24b.cha, line 882 · Anne 2;06
  7. that's no good . MOT · eng_british_Manchester_I/anne24b.cha, line 937 · Anne 2;06
  8. that is good . MOT · eng_british_Manchester_I/anne24b.cha, line 943 · Anne 2;06
  9. that's a good idea . MOT · eng_british_Manchester_I/anne24b.cha, line 1094 · Anne 2;06
  1. MOTnow we +/.
    CHIxxx .
    MOT*MOT: now we can do a good pattern ,, can't we ?
    CHIhello , Mr_Mandu .
    MOToh .
  2. MOTreally .
    MOTxxx .
    MOT*MOT: that one's a good piece .
    MOToh .
    MOTthat's the other long piece ,, isn't it ?
  3. CHIoh .
    MOTthere .
    MOT*MOT: that's a good bridge .
    MOTthe penguin says I can fit under that bridge .
    MOTand the tiger .
  4. MOTjust perfect .
    MOTthere .
    MOT*MOT: that was a good tunnel .
    MOTthe horse on the top ?
    MOTwhat's he doing right on the top ?
  5. CHIand this one fix there .
    MOToh .
    MOT*MOT: you've made a good field ,, haven't you ?
    INVmmhm .
    CHIwe +//.
  6. MOTit needs a door .
    MOToh .
    MOT*MOT: good idea .
    MOTuse the gate as a door .
    MOThow's that ?
  7. CHIthat no good .
    CHIMummy .
    MOT*MOT: that's no good .
    CHIit is .
    MOToh .
  8. CHIit is .
    MOToh .
    MOT*MOT: that is good .
    MOTdoes that man look after the tigers ?
    CHIyeah .
  9. CHIjust xxx is in there .
    MOTyou're going to see if it's in there .
    MOT*MOT: that's a good idea .
    MOToh .
    MOTsit up , dolly .

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. Anne eng_british_Manchester_I4.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne24b.chaAnne 2;6.042,040994.41

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. good9 · 100.0%