PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (343 utterances, 1,158 words searched).

  1. do you want me to put him back together ? MOT · eng_british_Manchester_I/becky32a.cha, line 1279 · Becky 2;11
  2. let me have a look . MOT · eng_british_Manchester_I/becky32a.cha, line 1317 · Becky 2;11
  3. look up for me . MOT · eng_british_Manchester_I/becky32a.cha, line 1319 · Becky 2;11
  1. eng_british_Manchester_I/becky32a.cha, line 1279 · Becky, 2;11.01
    MOTxxx please .
    CHIhe's on top .
    MOT*MOT: do you want me to put him back together ?
    CHIno .
    CHIhe's on the top .
  2. eng_british_Manchester_I/becky32a.cha, line 1317 · Becky, 2;11.01
    CHIjust one please .
    MOTyou [//] have you got an eyelash in your eye ?
    MOT*MOT: let me have a look .
    MOTlook up for me .
    MOTlook up at the ceiling .
  3. eng_british_Manchester_I/becky32a.cha, line 1319 · Becky, 2;11.01
    MOTyou [//] have you got an eyelash in your eye ?
    MOTlet me have a look .
    MOT*MOT: look up for me .
    MOTlook up at the ceiling .
    MOTis that any better ?

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_I2.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky32a.chaBecky 2;11.011,158332.59

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. me3 · 100.0%