PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (527 utterances, 1,427 words searched).

  1. alors j(e) vais faire couler le bain ? 152268_156048 MOT · french/lyon_nat02b.cha, line 246 · Nathan 1;00
  2. allez on va aller faire couler le bain . MOT · french/lyon_nat02b.cha, line 308 · Nathan 1;00
  3. eh p(e)tit Nanou , on boit pas l'eau du bain . 683560_688873 MOT · french/lyon_nat02b.cha, line 657 · Nathan 1;00
  1. MOTyyy [= ! chantonne] . 144052_148227
    MOTyyy [= ! chantonne] . 148227_152268
    MOT*MOT: alors j(e) vais faire couler le bain ? 152268_156048
    CHIyyy .
    MOThein ? 156048_160280
  2. CHIwww [= ! pleure] . 197368_211180
    MOTyyy [= ! demande le silence] .
    MOT*MOT: allez on va aller faire couler le bain .
    MOTtu viens avec moi ? 211180_214772
    CHIyyy .
  3. MOThop . 627025_631060
    CHIyyy . 631060_683560
    MOT*MOT: eh p(e)tit Nanou , on boit pas l'eau du bain . 683560_688873
    MOTj(e) t'ai d(é)jà dit combien d(e) fois ?
    MOTmh ? 688873_690385

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 french2.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat02b.chaNathan 1;0.241,427332.10

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. bain3 · 100.0%