PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (565 utterances, 1,958 words searched).

  1. shall we sit him on the back like that ? MOT · eng_british_Manchester_I/becky03b.cha, line 147 · Becky 2;00
  2. would like to ride on an elephant ? MOT · eng_british_Manchester_I/becky03b.cha, line 1078 · Becky 2;00
  3. would you like to ride on an elephant ? MOT · eng_british_Manchester_I/becky03b.cha, line 1082 · Becky 2;00
  4. Sukie doesn't like that . MOT · eng_british_Manchester_I/becky03b.cha, line 1456 · Becky 2;00
  5. like that , look . MOT · eng_british_Manchester_I/becky03b.cha, line 1648 · Becky 2;00
  6. you like tomatos usually though , don't you ? MOT · eng_british_Manchester_I/becky03b.cha, line 1761 · Becky 2;00
  7. would you like an egg ? MOT · eng_british_Manchester_I/becky03b.cha, line 1774 · Becky 2;00
  1. MOTno .
    MOTthat [/] that's yellow .
    MOT*MOT: shall we sit him on the back like that ?
    CHImmhm .
    MOTand hippo go on the front , couldn't he ?
  2. CHIyeah .
    CHIriding xxx his back .
    MOT*MOT: would like to ride on an elephant ?
    CHIyeah .
    MOTwould you like to ride on an elephant ?
  3. MOTwould like to ride on an elephant ?
    CHIyeah .
    MOT*MOT: would you like to ride on an elephant ?
    CHIyeah .
    CHIyeah .
  4. MOTno no no .
    MOTthat's naughty , Becky .
    MOT*MOT: Sukie doesn't like that .
    MOTthat's naughty .
    MOTthat hurts him , doesn't it ?
  5. MOTyeah ?
    MOTyou have to pull it .
    MOT*MOT: like that , look .
    MOTtrousers , aren't they she's got on .
    CHItrousers off .
  6. MOTis it horrible ?
    CHIxxx .
    MOT*MOT: you like tomatos usually though , don't you ?
    CHIxxx .
    MOTnot +//.
  7. CHIegg .
    MOTeggs .
    MOT*MOT: would you like an egg ?
    CHIyeah .
    MOTare you going to eat 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_I3.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky03b.chaBecky 2;0.281,958773.58

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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