PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

6.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (342 utterances, 1,452 words searched).

  1. good . MOT · eng_british_Manchester_II/john14a.cha, line 32 · John 2;03
  2. good . INV · eng_british_Manchester_II/john14a.cha, line 38 · John 2;03
  3. good . MOT · eng_british_Manchester_II/john14a.cha, line 128 · John 2;03
  4. very good . MOT · eng_british_Manchester_II/john14a.cha, line 191 · John 2;03
  5. good . MOT · eng_british_Manchester_II/john14a.cha, line 195 · John 2;03
  6. very good . MOT · eng_british_Manchester_II/john14a.cha, line 312 · John 2;03
  7. that's good . INV · eng_british_Manchester_II/john14a.cha, line 390 · John 2;03
  8. very good . MOT · eng_british_Manchester_II/john14a.cha, line 802 · John 2;03
  9. very good . MOT · eng_british_Manchester_II/john14a.cha, line 1059 · John 2;03
  10. it's really good . MOT · eng_british_Manchester_II/john14a.cha, line 1107 · John 2;03
  1. MOTquickly then .
    MOTput it in the bin .
    MOT*MOT: good .
    CHIput it in the bin .
    INVit's in the bin now , is it ?
  2. CHIput it in the bin .
    INVit's in the bin now , is it ?
    INV*INV: good .
    MOTwhere does this go ?
    MOToh .
  3. MOTaah .
    MOTmoney .
    MOT*MOT: good .
    CHIMummy take money .
    MOTmmhm .
  4. MOTcan you reach that one ?
    MOTthis one here .
    MOT*MOT: very good .
    CHIoh .
    MOTgood .
  5. MOTvery good .
    CHIoh .
    MOT*MOT: good .
    MOTwhere shall we put it ?
    CHImoney .
  6. MOTdada .
    CHIyeah .
    MOT*MOT: very good .
    MOTwhat's in there ?
    MOToh: .
  7. CHIin the green box .
    INVyeah .
    INV*INV: that's good .
    CHIxxx .
    CHIteddy .
  8. MOTI think the others are in here , John .
    MOTcan you join them together ?
    MOT*MOT: very good .
    MOTright .
    MOTand the next one .
  9. CHIteddys box .
    CHIin the teddys box .
    MOT*MOT: very good .
    MOTnow you'll know where your money is .
    CHIwhere is it ?
  10. MOTthere's plenty of paper here .
    MOTall this drawing you did last time .
    MOT*MOT: it's really good .
    MOTit's very detailed stuff , wasn't it ?
    MOTyou did all that .

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. John eng_british_Manchester_II6.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john14a.chaJohn 2;3.261,45210106.89

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. good10 · 100.0%