PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (445 utterances, 1,679 words searched).

  1. un (.) deux (.) trois ! 283632_287058 MOT · french/lyon_nat21b.cha, line 248 · Nathan 1;11
  2. t(u) as tapé les trois ? 1115355_1117215 MOT · french/lyon_nat21b.cha, line 1125 · Nathan 1;11
  3. +, trois . 1128833_1130348 MOT · french/lyon_nat21b.cha, line 1138 · Nathan 1;11
  4. une deux trois . 1131305_1133660 MOT · french/lyon_nat21b.cha, line 1143 · Nathan 1;11
  1. JEA+< tu m(e) fais pas et j(e) le fais pas .
    MOT<encore les cheveux> [= ! chante] !
    MOT*MOT: un (.) deux (.) trois ! 283632_287058
    JEA+< tu m(e) fais pas et j(e) le fais pas .
    MOTNanou sur les cheveux . 287058_288820
  2. MOTt(u) as fini ?
    CHIyyy . 1114535_1115355
    MOT*MOT: t(u) as tapé les trois ? 1115355_1117215
    CHIyyy . 1117215_1119923
    MOTalors (.) combien y en a ? 1119923_1122010
  3. MOTdeux . 1124585_1126567
    MOTet +//. 1126567_1128833
    MOT*MOT: +, trois . 1128833_1130348
    CHIyyy . 1130348_1131305
    MOTune deux trois . 1131305_1133660
  4. MOT+, trois . 1128833_1130348
    CHIyyy . 1130348_1131305
    MOT*MOT: une deux trois . 1131305_1133660
    MOTet après c'est quoi ? 1133660_1136312
    CHInon . 1136312_1140187

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 french2.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat21b.chaNathan 1;11.191,679442.38

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. trois4 · 100.0%