PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

5.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (437 utterances, 590 words searched).

  1. une jambe . 362352_365713 MOT · french/lyon_mas17a.cha, line 275 · Marilyn 1;08
  2. une jambe . 469302_472908 MOT · french/lyon_mas17a.cha, line 413 · Marilyn 1;08
  3. une autre jambe . 474782_476652 MOT · french/lyon_mas17a.cha, line 417 · Marilyn 1;08
  1. CHIpieds . 359170_360892
    MOTet les jambes . 360892_362352
    MOT*MOT: une jambe . 362352_365713
    MOTdeux jambes . 365723_367115
    MOTet plus d(e) bonhomme . 367115_369735
  2. MOTtiens . 461467_465090
    MOTtu enlèves encore les bras ? 465090_469302
    MOT*MOT: une jambe . 469302_472908
    MOTun pied . 472908_474782
    MOTune autre jambe . 474782_476652
  3. MOTune jambe . 469302_472908
    MOTun pied . 472908_474782
    MOT*MOT: une autre jambe . 474782_476652
    MOTet le corps . 476652_479683
    MOT(ç)a_y_est cassé le bonhomme . 479687_481702

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. Marilyn french5.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mas17a.chaMarilyn 1;8.29590335.08

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. jambe3 · 100.0%