PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.66 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (340 utterances, 1,126 words searched).

  1. she said I've got an idea . MOT · eng_british_Manchester_I/gail33b.cha, line 654 · Gail 2;11
  2. I've done it . INV · eng_british_Manchester_I/gail33b.cha, line 809 · Gail 2;11
  3. I've never liked cheese . MOT · eng_british_Manchester_I/gail33b.cha, line 1269 · Gail 2;11
  1. eng_british_Manchester_I/gail33b.cha, line 654 · Gail, 2;11.05
    CHIshe sat on him .
    MOTso what did she decide to do ?
    MOT*MOT: she said I've got an idea .
    MOTshe waved her magic wand and said +...
    CHI++ abra_ca_dabra .
  2. eng_british_Manchester_I/gail33b.cha, line 809 · Gail, 2;11.05
    CHIoh yes .
    INVwhat do you mean not very good at magic tunnels ?
    INV*INV: I've done it .
    CHIin there .
    INVwhat in there ?
  3. eng_british_Manchester_I/gail33b.cha, line 1269 · Gail, 2;11.05
    MOTno .
    MOTI don't .
    MOT*MOT: I've never liked cheese .
    MOToh .
    MOTcelery .

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. Gail eng_british_Manchester_I2.66
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail33b.chaGail 2;11.051,126332.66

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. i've3 · 100.0%