PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (194 utterances, 736 words searched).

  1. on va aller faire couler le bain . 838873_841260 MOT · french/lyon_nat15b.cha, line 531 · Nathan 1;07
  2. +, pour aller dans le bain . 843275_846135 MOT · french/lyon_nat15b.cha, line 539 · Nathan 1;07
  1. french/lyon_nat15b.cha, line 531 · Nathan, 1;7.22
    CHIwww [= ! pleure] .
    MOTtu sais c(e) qu'on va faire mon Nanou ? 836837_838873
    MOT*MOT: on va aller faire couler le bain . 838873_841260
    MOThein ? 841260_843275
    MOTet puis on va s(e) préparer +//.
  2. french/lyon_nat15b.cha, line 539 · Nathan, 1;7.22
    MOThein ? 841260_843275
    MOTet puis on va s(e) préparer +//.
    MOT*MOT: +, pour aller dans le bain . 843275_846135
    MOTtu veux ? 846135_847635
    MOToui ? 847635_849738

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 french2.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat15b.chaNathan 1;7.22736222.72

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. aller2 · 100.0%