PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

2.91 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (705 utterances, 2,750 words searched).

  1. and I was doing so well . MOT · eng_british_Manchester_II/joel15b.cha, line 464 · Joel 2;03
  2. and what's she doing ? MOT · eng_british_Manchester_II/joel15b.cha, line 844 · Joel 2;03
  3. and what's she doing ? MOT · eng_british_Manchester_II/joel15b.cha, line 1028 · Joel 2;03
  4. what's he doing ? MOT · eng_british_Manchester_II/joel15b.cha, line 1055 · Joel 2;03
  5. and what're they doing ? MOT · eng_british_Manchester_II/joel15b.cha, line 1337 · Joel 2;03
  6. and what was Norman doing ? MOT · eng_british_Manchester_II/joel15b.cha, line 1353 · Joel 2;03
  7. what [/] what're you doing ? MOT · eng_british_Manchester_II/joel15b.cha, line 1479 · Joel 2;03
  8. what're you doing ? MOT · eng_british_Manchester_II/joel15b.cha, line 1589 · Joel 2;03
  1. MOTare you getting fed up of this now ?
    MOTdon't tread on it .
    MOT*MOT: and I was doing so well .
    MOTum don't .
    MOTright .
  2. CHIthat's Miss_Hubbard .
    MOTthat's Miss_Hubbard .
    MOT*MOT: and what's she doing ?
    CHIriding a bicycle .
    MOTshe's riding her bicycle .
  3. MOTit is .
    MOTit's Sally .
    MOT*MOT: and what's she doing ?
    CHIa rest .
    MOThaving a rest ?
  4. CHIno .
    MOToh .
    MOT*MOT: what's he doing ?
    CHIgo to sleep .
    CHIa lady's gonna [: going to] get nice milk .
  5. MOToh .
    MOThe's got a bent ladder .
    MOT*MOT: and what're they doing ?
    CHIgetting hose ready .
    MOTgetting the hose ready .
  6. MOToh .
    MOTwhat's up at the window ?
    MOT*MOT: and what was Norman doing ?
    MOTeh ?
    MOThas he been naughty ?
  7. MOToh .
    MOTlook .
    MOT*MOT: what [/] what're you doing ?
    MOTprowling .
    MOTcan you hear something ?
  8. CHIBudgie xxx .
    MOToh .
    MOT*MOT: what're you doing ?
    CHIbyebye [= actually says ta+ta] .
    MOTdada ?

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. Joel eng_british_Manchester_II2.91
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel15b.chaJoel 2;3.252,750882.91

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. doing8 · 100.0%