PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,550 words searched).

  1. they're grapes , aren't they ? MOT · eng_british_Manchester_II/nic24b.cha, line 138 · Nicole 2;09
  2. we've got loads more grapes , look . MOT · eng_british_Manchester_II/nic24b.cha, line 142 · Nicole 2;09
  3. there's loads of grapes . INV · eng_british_Manchester_II/nic24b.cha, line 144 · Nicole 2;09
  4. lots and lots of grapes . MOT · eng_british_Manchester_II/nic24b.cha, line 148 · Nicole 2;09
  5. you like grapes though , don't you ? MOT · eng_british_Manchester_II/nic24b.cha, line 849 · Nicole 2;09
  6. do you like grapes ? MOT · eng_british_Manchester_II/nic24b.cha, line 851 · Nicole 2;09
  1. eng_british_Manchester_II/nic24b.cha, line 138 · Nicole, 2;9.03
    MOTyou have got a cough , haven't you ?
    CHIgrapes .
    MOT*MOT: they're grapes , aren't they ?
    MOTgosh .
    MOTwe've got loads more grapes , look .
  2. eng_british_Manchester_II/nic24b.cha, line 142 · Nicole, 2;9.03
    MOTthey're grapes , aren't they ?
    MOTgosh .
    MOT*MOT: we've got loads more grapes , look .
    INVthere's loads of grapes .
    MOThaven't we ?
  3. eng_british_Manchester_II/nic24b.cha, line 144 · Nicole, 2;9.03
    MOTgosh .
    MOTwe've got loads more grapes , look .
    INV*INV: there's loads of grapes .
    MOThaven't we ?
    MOTlots and lots of grapes .
  4. eng_british_Manchester_II/nic24b.cha, line 148 · Nicole, 2;9.03
    INVthere's loads of grapes .
    MOThaven't we ?
    MOT*MOT: lots and lots of grapes .
    CHIxxx .
    CHIwhere 0is [*] box ?
  5. eng_british_Manchester_II/nic24b.cha, line 849 · Nicole, 2;9.03
    CHIdon't like anymore .
    MOThmm ?
    MOT*MOT: you like grapes though , don't you ?
    MOTdo you like grapes ?
    CHIlook .
  6. eng_british_Manchester_II/nic24b.cha, line 851 · Nicole, 2;9.03
    MOThmm ?
    MOTyou like grapes though , don't you ?
    MOT*MOT: do you like grapes ?
    CHIlook .
    MOTare they your favorite ?

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_II3.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic24b.chaNicole 2;9.031,550663.87

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. grapes6 · 100.0%