PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. what shall we build ? MOT · eng_british_Manchester_II/nic07b.cha, line 142 · Nicole 2;02
  2. what're you going to build ? MOT · eng_british_Manchester_II/nic07b.cha, line 146 · Nicole 2;02
  3. going to build a bear ? MOT · eng_british_Manchester_II/nic07b.cha, line 158 · Nicole 2;02
  4. shall we build it up ? MOT · eng_british_Manchester_II/nic07b.cha, line 230 · Nicole 2;02
  5. shall we try and build it up then ? MOT · eng_british_Manchester_II/nic07b.cha, line 1446 · Nicole 2;02
  1. CHIDuplo .
    MOToh .
    MOT*MOT: what shall we build ?
    CHIyeah .
    MOTwhat're you going to build ?
  2. MOTwhat shall we build ?
    CHIyeah .
    MOT*MOT: what're you going to build ?
    CHIa bear .
    MOTa what ?
  3. CHIbear .
    MOTa bear ?
    MOT*MOT: going to build a bear ?
    MOTmake a bear ?
    INVwww .
  4. MOTno ?
    MOTcome on then .
    MOT*MOT: shall we build it up ?
    CHIxxx .
    CHIbridge now .
  5. MOTit willn't go like that .
    MOTuhoh .
    MOT*MOT: shall we try and build it up then ?
    MOThmm ?
    MOTwipe your nose .

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_II2.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic07b.chaNicole 2;2.271,776552.82

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. build5 · 100.0%