PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (319 utterances, 1,131 words searched).

  1. I thought he didn't like me . MOT · eng_british_Manchester_I/becky33b.cha, line 377 · Becky 2;11
  2. it looks like one . MOT · eng_british_Manchester_I/becky33b.cha, line 670 · Becky 2;11
  3. like the eggs . MOT · eng_british_Manchester_I/becky33b.cha, line 702 · Becky 2;11
  4. do you not like it ? MOT · eng_british_Manchester_I/becky33b.cha, line 938 · Becky 2;11
  5. I thought we could do it like this , look . INV · eng_british_Manchester_I/becky33b.cha, line 1494 · Becky 2;11
  6. like a bridge . INV · eng_british_Manchester_I/becky33b.cha, line 1503 · Becky 2;11
  1. eng_british_Manchester_I/becky33b.cha, line 377 · Becky, 2;11.08
    CHIhe's [/] he's your friend .
    MOThe's my friend now , is he ?
    MOT*MOT: I thought he didn't like me .
    CHInow .
    CHIwhat can I +//.
  2. eng_british_Manchester_I/becky33b.cha, line 670 · Becky, 2;11.08
    MOTno .
    MOTit isn't a b@l for Becky actually .
    MOT*MOT: it looks like one .
    MOTit's [/] it's a g@l .
    MOTa little g@l .
  3. eng_british_Manchester_I/becky33b.cha, line 702 · Becky, 2;11.08
    MOTxxx noise .
    MOTdo you think you might be doing some damage to all the things you've just bought ?
    MOT*MOT: like the eggs .
    CHIno .
    MOTI think you might be .
  4. eng_british_Manchester_I/becky33b.cha, line 938 · Becky, 2;11.08
    CHIoh .
    MOTdo you not want it ?
    MOT*MOT: do you not like it ?
    CHIyeah .
    CHImy present .
  5. eng_british_Manchester_I/becky33b.cha, line 1494 · Becky, 2;11.08
    INVI'll put one more on this .
    INVoh well .
    INV*INV: I thought we could do it like this , look .
    INVwatch .
    INVready ?
  6. eng_british_Manchester_I/becky33b.cha, line 1503 · Becky, 2;11.08
    INVready ?
    CHIyeah .
    INV*INV: like a bridge .
    INVand then the train can go underneath it .
    INVcan it ?

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_I5.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky33b.chaBecky 2;11.081,131665.31

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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