PHPCLANCHILDES with regular expressions

6 matches in 4 utterances

3.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (452 utterances, 1,780 words searched).

  1. Jean does , does she ? MOT · eng_british_Manchester_II/nic33a.cha, line 348 · Nicole 3;00
  2. Jean wasn't there today , was she ? MOT · eng_british_Manchester_II/nic33a.cha, line 356 · Nicole 3;00
  3. <Jean was> [/] Jean was at creche today , wasn't she ? MOT · eng_british_Manchester_II/nic33a.cha, line 361 · Nicole 3;00
  4. <Jean was> [/] Jean was at creche today , wasn't she ? MOT · eng_british_Manchester_II/nic33a.cha, line 361 · Nicole 3;00
  5. Jean would have had you out if Jean was there . MOT · eng_british_Manchester_II/nic33a.cha, line 1070 · Nicole 3;00
  6. Jean would have had you out if Jean was there . MOT · eng_british_Manchester_II/nic33a.cha, line 1070 · Nicole 3;00
  1. CHIno .
    CHIum Jean do [*] .
    MOT*MOT: Jean does , does she ?
    CHIyeah .
    CHInot [/] not Meg .
  2. CHInot [/] not Meg .
    CHIJean does .
    MOT*MOT: Jean wasn't there today , was she ?
    CHIwhy ?
    MOT<Jean was> [/] Jean was at creche today , wasn't she ?
  3. MOTJean wasn't there today , was she ?
    CHIwhy ?
    MOT*MOT: <Jean was> [/] Jean was at creche today , wasn't she ?
    CHIwhy ?
    MOTwell .
  4. CHIit cold .
    MOToh .
    MOT*MOT: Jean would have had you out if Jean was there .
    CHIJean .
    CHIxxx .

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. Nicole eng_british_Manchester_II3.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic33a.chaNicole 3;0.031,780463.37

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. jean6 · 100.0%