PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.85 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (550 utterances, 2,108 words searched).

  1. did you like going in the sea ? MOT · eng_british_Manchester_I/anne07a.cha, line 279 · Anne 2;00
  2. it looks like we need to do the washing up now . MOT · eng_british_Manchester_I/anne07a.cha, line 1327 · Anne 2;00
  3. well use it like that . MOT · eng_british_Manchester_I/anne07a.cha, line 1437 · Anne 2;00
  4. shall we do one as big as Anne like you did with Daddy yesterday ? MOT · eng_british_Manchester_I/anne07a.cha, line 1652 · Anne 2;00
  5. did you build it up very tall like this ? MOT · eng_british_Manchester_I/anne07a.cha, line 1675 · Anne 2;00
  6. we'll see if we can get it really tall like you said you did with Daddy . MOT · eng_british_Manchester_I/anne07a.cha, line 1720 · Anne 2;00
  1. eng_british_Manchester_I/anne07a.cha, line 279 · Anne, 2;0.15
    MOTshall we draw the sea ?
    MOTthere's the sea .
    MOT*MOT: did you like going in the sea ?
    MOTdid you ?
    CHIno .
  2. eng_british_Manchester_I/anne07a.cha, line 1327 · Anne, 2;0.15
    CHITumble_town .
    MOToh .
    MOT*MOT: it looks like we need to do the washing up now .
    CHIyeah .
    MOTyeah .
  3. eng_british_Manchester_I/anne07a.cha, line 1437 · Anne, 2;0.15
    CHIoh .
    CHIwater please .
    MOT*MOT: well use it like that .
    MOTuse it as it is .
    MOTpretend .
  4. eng_british_Manchester_I/anne07a.cha, line 1652 · Anne, 2;0.15
    CHIyeah .
    MOTalright then .
    MOT*MOT: shall we do one as big as Anne like you did with Daddy yesterday ?
    CHIyeah .
    MOTyeah .
  5. eng_british_Manchester_I/anne07a.cha, line 1675 · Anne, 2;0.15
    CHIyeah .
    MOTyeah .
    MOT*MOT: did you build it up very tall like this ?
    CHIyeah .
    CHIyeah .
  6. eng_british_Manchester_I/anne07a.cha, line 1720 · Anne, 2;0.15
    CHIdo it then .
    MOTgo on you do some and I'll do some more .
    MOT*MOT: we'll see if we can get it really tall like you said you did with Daddy .
    MOTthat's right .
    CHIxxx .

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_I2.85
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne07a.chaAnne 2;0.152,108662.85

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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