PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

5.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (157 utterances, 594 words searched).

  1. tu protestes toujours ? MOT · french/pauline_14a.cha, line 414 · Pauline 1;02
  2. tu dis toujours non [/] non [/] non [/] non [/] non . MOT · french/pauline_14a.cha, line 416 · Pauline 1;02
  3. non toujours non . MOT · french/pauline_14a.cha, line 534 · Pauline 1;02
  1. french/pauline_14a.cha, line 414 · Pauline, 1;2.20
    CHInon .
    MOTnon ?
    MOT*MOT: tu protestes toujours ?
    MOTtu dis toujours non [/] non [/] non [/] non [/] non .
    CHIta@c [: tiens] .
  2. french/pauline_14a.cha, line 416 · Pauline, 1;2.20
    MOTnon ?
    MOTtu protestes toujours ?
    MOT*MOT: tu dis toujours non [/] non [/] non [/] non [/] non .
    CHIta@c [: tiens] .
    MOTton bifteck cuit .
  3. french/pauline_14a.cha, line 534 · Pauline, 1;2.20
    MOTnon , tu veux pas que je t'aide .
    MOTnon [/] non [/] non .
    MOT*MOT: non toujours non .
    MOTbon .
    CHIta@c [: tiens] .

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. Pauline french5.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/pauline_14a.chaPauline 1;2.20594335.05

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. toujours3 · 100.0%