PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (604 utterances, 2,436 words searched).

  1. I don't think we've got enough bricks for a tunnel here . MOT · eng_british_Manchester_I/becky06a.cha, line 84 · Becky 2;01
  2. we'll have to move this , Becky because there willn't be room for everything . MOT · eng_british_Manchester_I/becky06a.cha, line 364 · Becky 2;01
  3. are you waiting for me to finish this house ? MOT · eng_british_Manchester_I/becky06a.cha, line 681 · Becky 2;01
  4. then we'll make a roof in a minute for it . MOT · eng_british_Manchester_I/becky06a.cha, line 709 · Becky 2;01
  5. are you ready for the chimney ? MOT · eng_british_Manchester_I/becky06a.cha, line 1277 · Becky 2;01
  6. what about some brown hair for the little boy ? MOT · eng_british_Manchester_I/becky06a.cha, line 1654 · Becky 2;01
  7. can you find brown for me ? MOT · eng_british_Manchester_I/becky06a.cha, line 2064 · Becky 2;01
  1. MOTyou want to make a tunnel ?
    MOTdo you ?
    MOT*MOT: I don't think we've got enough bricks for a tunnel here .
    MOTlet's see what we can do .
    MOTare you going to help me ?
  2. MOTthe big one yes .
    CHItoes .
    MOT*MOT: we'll have to move this , Becky because there willn't be room for everything .
    MOTokay ?
    MOTdon't [//] no .
  3. MOTthat will help it to stand up .
    MOTokay ?
    MOT*MOT: are you waiting for me to finish this house ?
    CHIyeah .
    MOTare you ?
  4. MOTand it's got some more windows at the back .
    CHIopen .
    MOT*MOT: then we'll make a roof in a minute for it .
    CHIopen .
    MOTopen ?
  5. CHIxxx .
    MOTare you ready ?
    MOT*MOT: are you ready for the chimney ?
    MOTare you watching it ?
    CHIyeah .
  6. MOTthat's it .
    MOTgive him some red lips .
    MOT*MOT: what about some brown hair for the little boy ?
    CHIbow .
    CHImake a bow .
  7. CHIgreen hen .
    MOTwhere's the brown .
    MOT*MOT: can you find brown for me ?
    MOTno .
    MOTthat's not brown .

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_I2.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky06a.chaBecky 2;1.302,436772.87

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.

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