PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (573 utterances, 2,275 words searched).

  1. then we can put her dressing gown on as well if you like . MOT · eng_british_Manchester_I/becky05a.cha, line 89 · Becky 2;01
  2. like that ? MOT · eng_british_Manchester_I/becky05a.cha, line 234 · Becky 2;01
  3. do you like Grandma's cakes ? MOT · eng_british_Manchester_I/becky05a.cha, line 1151 · Becky 2;01
  4. is that what you like to do on your swing ? MOT · eng_british_Manchester_I/becky05a.cha, line 1312 · Becky 2;01
  5. tell me something else you'd like to do then . MOT · eng_british_Manchester_I/becky05a.cha, line 1811 · Becky 2;01
  6. do you think she might like a ride ? MOT · eng_british_Manchester_I/becky05a.cha, line 1921 · Becky 2;01
  7. push it on like that , look . MOT · eng_british_Manchester_I/becky05a.cha, line 2044 · Becky 2;01
  1. MOTshall I put it on ?
    CHIyeah .
    MOT*MOT: then we can put her dressing gown on as well if you like .
    CHIpajamas .
    CHIyes .
  2. CHIyeah .
    INVwww .
    MOT*MOT: like that ?
    CHIyeah .
    CHIcover .
  3. MOTyeah .
    CHIMama .
    MOT*MOT: do you like Grandma's cakes ?
    CHIyeah .
    MOTshall we find another page ?
  4. MOTthey're on the swing .
    MOTgoing high up into the sky .
    MOT*MOT: is that what you like to do on your swing ?
    CHImmhm .
    MOTmmhm .
  5. MOTBecky .
    INV<play with> [/] play <with Mummy first though> [>] .
    MOT*MOT: tell me something else you'd like to do then .
    MOTif you don't want to do a puzzle .
    MOTdo you want to ride on your horsie ?
  6. MOTare you getting down ?
    CHIyeah .
    MOT*MOT: do you think she might like a ride ?
    CHIyeah .
    MOTare you going to get her ?
  7. CHIyeah .
    MOTpush it .
    MOT*MOT: push it on like that , look .
    MOTokay ?
    CHIno .

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_I3.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky05a.chaBecky 2;1.242,275773.08

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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