PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (487 utterances, 1,665 words searched).

  1. on your mouth ? MOT · eng_british_Manchester_I/becky24a.cha, line 713 · Becky 2;08
  2. that's your mouth , isn't it ? MOT · eng_british_Manchester_I/becky24a.cha, line 727 · Becky 2;08
  3. you want me to put mouth and ears ? MOT · eng_british_Manchester_I/becky24a.cha, line 1580 · Becky 2;08
  4. shall I put the mouth in ? MOT · eng_british_Manchester_I/becky24a.cha, line 1667 · Becky 2;08
  1. eng_british_Manchester_I/becky24a.cha, line 713 · Becky, 2;8.02
    MOTwhere ?
    CHIthere .
    MOT*MOT: on your mouth ?
    CHIno .
    CHInot on my mouth .
  2. eng_british_Manchester_I/becky24a.cha, line 727 · Becky, 2;8.02
    CHIthere .
    MOTwell .
    MOT*MOT: that's your mouth , isn't it ?
    MOT<it's not on your> [//] it wasn't on your teeth ?
    CHIno .
  3. eng_british_Manchester_I/becky24a.cha, line 1580 · Becky, 2;8.02
    CHII want to put mouth and ears .
    MOTright .
    MOT*MOT: you want me to put mouth and ears ?
    CHIyeah .
    MOTwhat ?
  4. eng_british_Manchester_I/becky24a.cha, line 1667 · Becky, 2;8.02
    CHIwhere my hand gone ?
    CHImouth .
    MOT*MOT: shall I put the mouth in ?
    CHIyeah .
    MOTin here ?

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_I2.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky24a.chaBecky 2;8.021,665442.40

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. mouth4 · 100.0%