PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (469 utterances, 1,776 words searched).

  1. a bear ? MOT · eng_british_Manchester_II/nic07b.cha, line 156 · Nicole 2;02
  2. going to build a bear ? MOT · eng_british_Manchester_II/nic07b.cha, line 158 · Nicole 2;02
  3. make a bear ? MOT · eng_british_Manchester_II/nic07b.cha, line 160 · Nicole 2;02
  4. bridge or a bear . MOT · eng_british_Manchester_II/nic07b.cha, line 169 · Nicole 2;02
  1. MOTI didn't hear that .
    CHIbear .
    MOT*MOT: a bear ?
    MOTgoing to build a bear ?
    MOTmake a bear ?
  2. CHIbear .
    MOTa bear ?
    MOT*MOT: going to build a bear ?
    MOTmake a bear ?
    INVwww .
  3. MOTa bear ?
    MOTgoing to build a bear ?
    MOT*MOT: make a bear ?
    INVwww .
    MOTbridge ?
  4. MOTbridge ?
    CHIyeah .
    MOT*MOT: bridge or a bear .
    CHIbridge .
    MOToh .

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_II2.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic07b.chaNicole 2;2.271,776442.25

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. bear4 · 100.0%