PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (248 utterances, 903 words searched).

  1. pas comme Atila . 1601623_1602952 MOT · french/lyon_nat17a.cha, line 943 · Nathan 1;09
  2. +< ah regarde comme t(u) es beau . 1616697_1620880 MOT · french/lyon_nat17a.cha, line 971 · Nathan 1;09
  3. +< regarde comme t(u) es beau . MOT · french/lyon_nat17a.cha, line 977 · Nathan 1;09
  1. MOT<fais doucement> [/] <fais doucement> [/] (.) fais doucement .
    CHI+< yyy . 1596378_1601623
    MOT*MOT: pas comme Atila . 1601623_1602952
    CHIyyy . 1602952_1604642
    MOTvoilà bravo . 1604642_1607237
  2. MOToh tiens . 1614468_1616697
    CHIyyy .
    MOT*MOT: +< ah regarde comme t(u) es beau . 1616697_1620880
    CHIyyy .
    MOT+< regarde comme t(u) es beau .
  3. MOT+< ah regarde comme t(u) es beau . 1616697_1620880
    CHIyyy .
    MOT*MOT: +< regarde comme t(u) es beau .
    MOTaux couleurs de la France en_plus . 1620880_1622658
    CHIyyy . 1622658_1625025

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 french3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat17a.chaNathan 1;9.3903333.32

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. comme3 · 100.0%