PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

5.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (200 utterances, 716 words searched).

  1. Scoubidi . 117177_119908 ELI · french/palasis_09-37a.cha, line 176
  2. Scoubidi ! 121368_122189 WIL · french/palasis_09-37a.cha, line 183
  3. Scoubidi Scoubidi . 128780_131503 WIL · french/palasis_09-37a.cha, line 196
  4. Scoubidi Scoubidi . 128780_131503 WIL · french/palasis_09-37a.cha, line 196
  1. KATlà c'est un_peu trop près . 115133_116330
    KATon verra rien . 116330_117177
    ELI*ELI: Scoubidi . 117177_119908
    WILc'est lui ! 119908_120545
    KATi(l) va falloir que je change la cassette . 120545_121368
  2. WILc'est lui ! 119908_120545
    KATi(l) va falloir que je change la cassette . 120545_121368
    WIL*WIL: Scoubidi ! 121368_122189
    DYLchange la cassette ! 122189_123065
    NINet <ben moi j'ai> [/] ben moi j'ai que Spidou . 123065_126169
  3. NINque Spidou . 126928_127867
    NINmoi j'ai que Spidou . 127867_128780
    WIL*WIL: Scoubidi Scoubidi . 128780_131503
    NINmoi j'ai que Spidou . 131503_133918
    WILScoubidou . 133918_136108

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Palasis_09-37A french5.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/palasis_09-37a.chaPalasis_09-37A 716345.59

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. scoubidi4 · 100.0%