PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

4.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (222 utterances, 843 words searched).

  1. et tu saurais dessiner un train ? MOT · french/lyon_nat22b.cha, line 854 · Nathan 2;05
  2. un train . 1291965_1294070 MOT · french/lyon_nat22b.cha, line 859 · Nathan 2;05
  3. on fait un p(e)tit train ? 1335422_1337395 MOT · french/lyon_nat22b.cha, line 876 · Nathan 2;05
  4. tu veux qu'on fasse un train ? 1337395_1350397 MOT · french/lyon_nat22b.cha, line 878 · Nathan 2;05
  1. MOTc'est un avion ? 1283175_1284170
    CHImhm . 1284170_1290853
    MOT*MOT: et tu saurais dessiner un train ?
    MOTNanou . 1290853_1291965
    MOTun train . 1291965_1294070
  2. MOTet tu saurais dessiner un train ?
    MOTNanou . 1290853_1291965
    MOT*MOT: un train . 1291965_1294070
    CHIest là . 1294070_1295097
    MOTça c'est un avion ça . 1295097_1332110
  3. MOTNanou ?
    MOTNanou ? 1334247_1335422
    MOT*MOT: on fait un p(e)tit train ? 1335422_1337395
    MOTtu veux qu'on fasse un train ? 1337395_1350397
    CHIyyy .
  4. MOTNanou ? 1334247_1335422
    MOTon fait un p(e)tit train ? 1335422_1337395
    MOT*MOT: tu veux qu'on fasse un train ? 1337395_1350397
    CHIyyy .
    MOTregar(d)e . 1350397_1353017

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 french4.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat22b.chaNathan 2;5.18843444.74

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. train4 · 100.0%