PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (194 utterances, 797 words searched).

  1. ben comment on filme ? MOT · french/lyon_nat17b.cha, line 41 · Nathan 1;09
  2. comment elle fait la vache ? 253585_254807 MOT · french/lyon_nat17b.cha, line 172 · Nathan 1;09
  1. french/lyon_nat17b.cha, line 41 · Nathan, 1;9.3
    CHIyyy .
    MOTouais [/] ouais [/] ouais . 136033_138205
    MOT*MOT: ben comment on filme ?
    MOTon www [= ! li] a plus assez d(e) lumière . 138205_138865
    CHIyyy . 138865_139978
  2. french/lyon_nat17b.cha, line 172 · Nathan, 1;9.3
    CHIchien là . 247053_251298
    MOTwww [= ! rire] ça c'est la vache . 251298_253585
    MOT*MOT: comment elle fait la vache ? 253585_254807
    CHImm: . 254807_257225
    MOTça c'est le cochon .

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. Nathan french2.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat17b.chaNathan 1;9.3797222.51

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.

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