PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.45 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (360 utterances, 1,225 words searched).

  1. on ferme ? 54463_57483 MOT · french/lyon_ana14a.cha, line 105 · Anais 1;07
  2. on ferme ? 81717_83385 MOT · french/lyon_ana14a.cha, line 149 · Anais 1;07
  3. i(l) ferme pas ? MOT · french/lyon_ana14a.cha, line 328 · Anais 1;07
  1. french/lyon_ana14a.cha, line 105 · Anais, 1;7.5
    CHInon . 51855_54463
    MOTnon , bon .
    MOT*MOT: on ferme ? 54463_57483
    CHInon .
    CHInon . 57483_59268
  2. french/lyon_ana14a.cha, line 149 · Anais, 1;7.5
    MOTah la poire ben va la prendre !
    MOTvoilà .
    MOT*MOT: on ferme ? 81717_83385
    CHIyyy . 83385_90888
    MOTvoilà !
  3. french/lyon_ana14a.cha, line 328 · Anais, 1;7.5
    MOTqu'est ce qu'il a son www [= ! li] oeil . 209442_210925
    CHImhm . 210925_216418
    MOT*MOT: i(l) ferme pas ?
    MOTah non il est fixe .
    MOTil a tout l(e) temps les www [= ! li] yeux ouverts .

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. Anais french2.45
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana14a.chaAnais 1;7.51,225332.45

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. ferme3 · 100.0%