PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (369 utterances, 1,845 words searched).

  1. has Mummy been naughty ? MOT · eng_british_Manchester_II/warr19a.cha, line 1172 · Warren 2;04
  2. have I been naughty in the shop ? MOT · eng_british_Manchester_II/warr19a.cha, line 1178 · Warren 2;04
  3. what did I do in the shop that was naughty ? MOT · eng_british_Manchester_II/warr19a.cha, line 1182 · Warren 2;04
  4. because I've been naughty in the shop ? MOT · eng_british_Manchester_II/warr19a.cha, line 1267 · Warren 2;04
  5. why was I naughty in the shop ? MOT · eng_british_Manchester_II/warr19a.cha, line 1272 · Warren 2;04
  1. eng_british_Manchester_II/warr19a.cha, line 1172 · Warren, 2;4.13
    MOToh please .
    MOTwhy are you beating me ?
    MOT*MOT: has Mummy been naughty ?
    CHIMummy 0has [*] been naughty in the shop .
    MOThave I been naughty in the shop ?
  2. eng_british_Manchester_II/warr19a.cha, line 1178 · Warren, 2;4.13
    MOThas Mummy been naughty ?
    CHIMummy 0has [*] been naughty in the shop .
    MOT*MOT: have I been naughty in the shop ?
    CHIyes .
    MOTwhat did I do in the shop that was naughty ?
  3. eng_british_Manchester_II/warr19a.cha, line 1182 · Warren, 2;4.13
    MOThave I been naughty in the shop ?
    CHIyes .
    MOT*MOT: what did I do in the shop that was naughty ?
    MOTdid I spend money ?
    CHIyeah yes .
  4. eng_british_Manchester_II/warr19a.cha, line 1267 · Warren, 2;4.13
    MOTwhy do you want Mummy to cry ?
    CHIMummy 0has [*] been naughty in the shop .
    MOT*MOT: because I've been naughty in the shop ?
    CHIyeah .
    MOTwhy was I naughty in the shop ?
  5. eng_british_Manchester_II/warr19a.cha, line 1272 · Warren, 2;4.13
    MOTbecause I've been naughty in the shop ?
    CHIyeah .
    MOT*MOT: why was I naughty in the shop ?
    CHIfor paying money .
    MOTspending money .

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. Warren eng_british_Manchester_II2.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr19a.chaWarren 2;4.131,845552.71

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. naughty5 · 100.0%