PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (255 utterances, 1,005 words searched).

  1. oui , tu veux que je remonte tes manches comme ça ? 94955_97988 MOT · french/lyon_mar11b.cha, line 70 · Marie 1;07
  2. jeter tes pantoufles . 326941_328880 MOT · french/lyon_mar11b.cha, line 196 · Marie 1;07
  3. attention [<] à tes xxx . MOT · french/lyon_mar11b.cha, line 893 · Marie 1;07
  1. CHIeuh . 87148_89623
    CHIyyy . 89623_94958
    MOT*MOT: oui , tu veux que je remonte tes manches comme ça ? 94955_97988
    MOT(.) c'est ça ? 97988_99998
    CHI‹(.) oui› . 99995_101866
  2. MOTah . 306235_307866
    MOTwww [= ! rit] . 324980_326941
    MOT*MOT: jeter tes pantoufles . 326941_328880
    CHIregarde yyy au_revoir . 328880_333503
    MOTau_r(e)voir . 333500_334598
  3. CHIxxx . 979745_983718
    CHI‹yyy [>]› . 983715_990198
    MOT*MOT: attention [<] à tes xxx .
    CHIpapa . 990195_992038
    MOThum hum hum . 992035_993318

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. Marie french2.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar11b.chaMarie 1;7.121,005332.99

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. tes3 · 100.0%