PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.84 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (462 utterances, 1,087 words searched).

  1. va y avoir d(e) la casse , je sens . 515625_518670 MOT · french/lyon_tim10a.cha, line 621 · Tim 1;04
  2. j(e) vais pas avoir besoin d(e) laver . MOT · french/lyon_tim10a.cha, line 624 · Tim 1;04
  1. french/lyon_tim10a.cha, line 621 · Tim, 1;4.21
    VAL(..) Tim . 510677_515625
    MOToh la la la la la la la la la la .
    MOT*MOT: va y avoir d(e) la casse , je sens . 515625_518670
    MOTj(e) vais pas avoir besoin d(e) laver .
    MOT(.) hein ? 518670_520673
  2. french/lyon_tim10a.cha, line 624 · Tim, 1;4.21
    MOToh la la la la la la la la la la .
    MOTva y avoir d(e) la casse , je sens . 515625_518670
    MOT*MOT: j(e) vais pas avoir besoin d(e) laver .
    MOT(.) hein ? 518670_520673
    MOTc'est normal on www [= ! li] est rev(e)nu d(e) vacances , i(l) va faire beau . 520673_523547

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. Tim french1.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim10a.chaTim 1;4.211,087221.84

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. avoir2 · 100.0%