PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,278 words searched).

  1. is it a neenaw@c car ? MOT · eng_british_Manchester_I/carl20a.cha, line 1460 · Carl 2;03
  2. whose car's that ? MOT · eng_british_Manchester_I/carl20a.cha, line 1511 · Carl 2;03
  3. is Granddad in the car ? MOT · eng_british_Manchester_I/carl20a.cha, line 1520 · Carl 2;03
  4. where's Granddad going in the car ? MOT · eng_british_Manchester_I/carl20a.cha, line 1528 · Carl 2;03
  5. that's Nana's car , is it ? MOT · eng_british_Manchester_I/carl20a.cha, line 1535 · Carl 2;03
  6. that's a car yeah . MOT · eng_british_Manchester_I/carl20a.cha, line 1736 · Carl 2;03
  7. that's a rescue car . MOT · eng_british_Manchester_I/carl20a.cha, line 1738 · Carl 2;03
  1. CHIthis is a brumm@f going nee^naw@o nee^naw@o .
    MOTnee^naw@o .
    MOT*MOT: is it a neenaw@c car ?
    CHIit's stuck .
    MOTit's stuck .
  2. CHIthere's another car .
    CHIthere's another one .
    MOT*MOT: whose car's that ?
    CHIit's a red one like Granddad's .
    MOTjust like Granddad's .
  3. MOTjust like Granddad's .
    MOTthat's right .
    MOT*MOT: is Granddad in the car ?
    MOTis he driving it ?
    CHIno .
  4. CHIno .
    CHIwhere wheel gone ?
    MOT*MOT: where's Granddad going in the car ?
    CHIno .
    CHI<it's> [//] <there's> [//] that's Nana's .
  5. CHIno .
    CHI<it's> [//] <there's> [//] that's Nana's .
    MOT*MOT: that's Nana's car , is it ?
    CHIthat's Granddad and Nana and Granddad going to crashed [*] .
    MOTthey're going to crash ?
  6. MOTI see what you mean .
    CHIthat 0is [*] a car .
    MOT*MOT: that's a car yeah .
    MOTthat's a rescue car .
    CHIhe wanna [: want to] say nee^naw@o nee^naw@o nee^naw@o .
  7. CHIthat 0is [*] a car .
    MOTthat's a car yeah .
    MOT*MOT: that's a rescue car .
    CHIhe wanna [: want to] say nee^naw@o nee^naw@o nee^naw@o .
    CHIgonna [: going to] come out .

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. Carl eng_british_Manchester_I5.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/carl20a.chaCarl 2;3.041,278775.48

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. car7 · 100.0%