PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (436 utterances, 1,343 words searched).

  1. let me have a look . MOT · eng_british_Manchester_I/becky17b.cha, line 65 · Becky 2;05
  2. let me have a look . MOT · eng_british_Manchester_I/becky17b.cha, line 444 · Becky 2;05
  3. let's have a look . MOT · eng_british_Manchester_I/becky17b.cha, line 467 · Becky 2;05
  4. let's have a look . MOT · eng_british_Manchester_I/becky17b.cha, line 475 · Becky 2;05
  5. let's have a look . MOT · eng_british_Manchester_I/becky17b.cha, line 713 · Becky 2;05
  6. no , look . MOT · eng_british_Manchester_I/becky17b.cha, line 1116 · Becky 2;05
  1. MOTthey're not scissors .
    CHIxxx .
    MOT*MOT: let me have a look .
    CHIare they scissors ?
    MOTthey're not actually scissors .
  2. CHIis that a banana ?
    MOTno .
    MOT*MOT: let me have a look .
    MOTwell .
    MOTthey're letters .
  3. CHIxxx .
    CHIis that pineapple ?
    MOT*MOT: let's have a look .
    MOTyes .
    MOTit is .
  4. MOTit is .
    INVmmhm .
    MOT*MOT: let's have a look .
    MOTit is a pineapple .
    MOTyes .
  5. MOTplaster ?
    CHIyeah .
    MOT*MOT: let's have a look .
    CHIthere .
    MOTwhere ?
  6. MOTwhat am I lying on ?
    MOTno no no .
    MOT*MOT: no , look .
    MOTI'm lying on something .
    MOTit's all hard and knobbie and xxx .

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_I4.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky17b.chaBecky 2;5.291,343664.47

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. look6 · 100.0%