PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (456 utterances, 1,681 words searched).

  1. did the cock_a_doodle_doo peck your nose then ? INV · eng_british_Manchester_I/becky07a.cha, line 407 · Becky 2;02
  2. did you want xxx crayons out . MOT · eng_british_Manchester_I/becky07a.cha, line 616 · Becky 2;02
  3. did you want to sit here now then ? MOT · eng_british_Manchester_I/becky07a.cha, line 850 · Becky 2;02
  4. did you make that ? MOT · eng_british_Manchester_I/becky07a.cha, line 929 · Becky 2;02
  5. that was Daddy , wasn't it did that last night . MOT · eng_british_Manchester_I/becky07a.cha, line 1261 · Becky 2;02
  6. just like your push+chair did with you the other day . MOT · eng_british_Manchester_I/becky07a.cha, line 1474 · Becky 2;02
  1. eng_british_Manchester_I/becky07a.cha, line 407 · Becky, 2;2.15
    INVpardon ?
    MOTwww .
    INV*INV: did the cock_a_doodle_doo peck your nose then ?
    CHIyeah .
    INVoh dear .
  2. eng_british_Manchester_I/becky07a.cha, line 616 · Becky, 2;2.15
    CHIxxx .
    CHIxxx there .
    MOT*MOT: did you want xxx crayons out .
    CHIno .
    CHIno .
  3. eng_british_Manchester_I/becky07a.cha, line 850 · Becky, 2;2.15
    MOTdon't leave over with them otherwise you'll drop them all .
    INVput that on the table then pick them up .
    MOT*MOT: did you want to sit here now then ?
    CHImmhm .
    CHII want a spoon .
  4. eng_british_Manchester_I/becky07a.cha, line 929 · Becky, 2;2.15
    MOTmmm .
    MOTthat's nice .
    MOT*MOT: did you make that ?
    CHIyeah .
    MOTit's very good .
  5. eng_british_Manchester_I/becky07a.cha, line 1261 · Becky, 2;2.15
    INVyes .
    INVwhere is she ?
    MOT*MOT: that was Daddy , wasn't it did that last night .
    MOTyou'd gone to bed .
    MOThe shoved all the toys in # on top of her .
  6. eng_british_Manchester_I/becky07a.cha, line 1474 · Becky, 2;2.15
    MOTwilln't it ?
    CHIyes .
    MOT*MOT: just like your push+chair did with you the other day .
    MOTdo you remember that ?
    INVoh no .

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_I3.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky07a.chaBecky 2;2.151,681663.57

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.

  1. did6 · 100.0%