PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.61 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (575 utterances, 1,916 words searched).

  1. Caroline ? INV · eng_british_Manchester_I/becky17a.cha, line 235 · Becky 2;05
  2. Caroline's not seen it before . INV · eng_british_Manchester_I/becky17a.cha, line 1045 · Becky 2;05
  3. Caroline needs to <play as well> [>] , does she ? MOT · eng_british_Manchester_I/becky17a.cha, line 1452 · Becky 2;05
  4. and one for Caroline . MOT · eng_british_Manchester_I/becky17a.cha, line 1525 · Becky 2;05
  5. Caroline have a go . MOT · eng_british_Manchester_I/becky17a.cha, line 1626 · Becky 2;05
  1. eng_british_Manchester_I/becky17a.cha, line 235 · Becky, 2;5.29
    CHICaroline .
    MOThmm ?
    INV*INV: Caroline ?
    CHIwhat's this ?
    MOTit's a bedside table , Becky .
  2. eng_british_Manchester_I/becky17a.cha, line 1045 · Becky, 2;5.29
    MOTshe hasn't .
    MOTno .
    INV*INV: Caroline's not seen it before .
    INVno .
    MOTit was your Christmas_present , wasn't it ?
  3. eng_british_Manchester_I/becky17a.cha, line 1452 · Becky, 2;5.29
    CHIum and [/] and Caroline need [*] one .
    CHICaroline need [*] one .
    MOT*MOT: Caroline needs to <play as well> [>] , does she ?
    INV<I need one> [<] .
    CHIMummy play .
  4. eng_british_Manchester_I/becky17a.cha, line 1525 · Becky, 2;5.29
    CHII can't play .
    MOTone for you .
    MOT*MOT: and one for Caroline .
    INVthank you .
    MOTand one for me .
  5. eng_british_Manchester_I/becky17a.cha, line 1626 · Becky, 2;5.29
    CHIthat's cow nose .
    CHIxxx .
    MOT*MOT: Caroline have a go .
    INVwhat sort of nose am I looking for ?
    MOTyou're looking for a hippo's nose .

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_I2.61
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky17a.chaBecky 2;5.291,916552.61

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. caroline5 · 100.0%