PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (605 utterances, 2,355 words searched).

  1. and he has to dress up ? MOT · eng_british_Manchester_I/anne25a.cha, line 1028 · Anne 2;06
  2. pirates dress up ? MOT · eng_british_Manchester_I/anne25a.cha, line 1038 · Anne 2;06
  3. and Dippy_Duck dress [/] dresses up as a detective ,, doesn't he ? MOT · eng_british_Manchester_I/anne25a.cha, line 1046 · Anne 2;06
  4. there's Dippy_Duck all dressed up as a detective ,, isn't he ? MOT · eng_british_Manchester_I/anne25a.cha, line 1056 · Anne 2;06
  5. and that's the duck that you can sit on and bounce up and down on . MOT · eng_british_Manchester_I/anne25a.cha, line 1180 · Anne 2;06
  6. Munching_Mike goes up the mountain ,, doesn't he ? MOT · eng_british_Manchester_I/anne25a.cha, line 1645 · Anne 2;06
  7. all the way up there . MOT · eng_british_Manchester_I/anne25a.cha, line 1776 · Anne 2;06
  1. MOTwhere does Dippy_Duck go ?
    MOThe goes to a party ,, doesn't he ?
    MOT*MOT: and he has to dress up ?
    MOTremember ?
    CHIyes .
  2. MOTyeah ?
    CHIand pirates do .
    MOT*MOT: pirates dress up ?
    MOTyeah .
    MOTthey do ,, don't they ?
  3. MOTthey do ,, don't they ?
    CHIand Dippy_Duck do .
    MOT*MOT: and Dippy_Duck dress [/] dresses up as a detective ,, doesn't he ?
    MOTI think we've probably got that story here ,, haven't we ?
    MOTthere he is , look .
  4. MOTthere he is , look .
    CHIgolden xxx .
    MOT*MOT: there's Dippy_Duck all dressed up as a detective ,, isn't he ?
    CHIoh .
    CHIthere 0is [*] Clever_Cat .
  5. MOTthat's not a roundabout .
    MOTthat's a ball , Mummy .
    MOT*MOT: and that's the duck that you can sit on and bounce up and down on .
    CHIdo a +...
    MOTdo you think we'd better draw the bench ?
  6. MOToh .
    MOTit looks like a mountain .
    MOT*MOT: Munching_Mike goes up the mountain ,, doesn't he ?
    CHIdo it again .
    MOTdo what again ?
  7. MOTlooks like lots of dots .
    MOTdot [x 2] .
    MOT*MOT: all the way up there .
    MOTis it raining on your Annie_Apple ?
    CHIyeah .

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_I2.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne25a.chaAnne 2;6.292,355772.97

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. up7 · 100.0%