PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

2.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (367 utterances, 1,670 words searched).

  1. that was before dinner . MOT · bilingual_eng_Genesee/oli23b11m.cha, line 316 · Olivier 2;10
  2. <what was the junk> [/] what was the junk food made of ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 332 · Olivier 2;10
  3. <what was the junk> [/] what was the junk food made of ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 332 · Olivier 2;10
  4. the junk food was made of cheese ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 337 · Olivier 2;10
  5. it was gone . MOT · bilingual_eng_Genesee/oli23b11m.cha, line 1296 · Olivier 2;10
  1. bilingual_eng_Genesee/oli23b11m.cha, line 316 · Olivier, 2;10.29
    MOTexcuse me !
    CHI0.
    MOT*MOT: that was before dinner .
    CHI0.
    MOTwhat did you eat for your junk ?
  2. bilingual_eng_Genesee/oli23b11m.cha, line 332 · Olivier, 2;10.29
    MOTand what [/] what kind of junk food ?
    CHIyeah ?
    MOT*MOT: <what was the junk> [/] what was the junk food made of ?
    CHIuh # cheese .
    MOTthe junk food was made of cheese ?
  3. bilingual_eng_Genesee/oli23b11m.cha, line 337 · Olivier, 2;10.29
    MOT<what was the junk> [/] what was the junk food made of ?
    CHIuh # cheese .
    MOT*MOT: the junk food was made of cheese ?
    CHI0.
    MOTI don't think cheese is junk food .
  4. bilingual_eng_Genesee/oli23b11m.cha, line 1296 · Olivier, 2;10.29
    CHIyeah ?
    MOTabracadabra poof !
    MOT*MOT: it was gone .
    CHI0.
    MOTdo you know where it went to ?

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. Olivier bilingual_eng_Genesee2.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b11m.chaOlivier 2;10.291,670452.99

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. was5 · 100.0%