PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

0.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (505 utterances, 2,301 words searched).

  1. +" cot cot ce n'est pas moi . 1512476_1512881 MOT · french/york_para007.cha, line 1575 · Anne 2;01
  2. +" cra@wp cra@wp ce n'est pas moi . 1559733_1563473 MOT · french/york_para007.cha, line 1634 · Anne 2;01
  1. french/york_para007.cha, line 1575 · Anne, 2;1.19
    MOTalors qu'est-ce qu'elle répond , la poule ? 1509121_1512352
    CHIcoc@o coc@o . 1512352_1512739
    MOT*MOT: +" cot cot ce n'est pas moi . 1512476_1512881
    MOTrépond la poule +". 1512881_1512979
    MOT+" je dors . 1512970_1513841
  2. french/york_para007.cha, line 1634 · Anne, 2;1.19
    MOTi(l) dort „ oui . 1557605_1558673
    MOTil répond qu'il dort . 1558673_1559733
    MOT*MOT: +" cra@wp cra@wp ce n'est pas moi . 1559733_1563473
    MOTrépond le corbeau +". 1563473_1563999
    MOT+" je dors . 1563999_1564616

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. Anne french0.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/york_para007.chaAnne 2;1.192,301220.87

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. n'2 · 100.0%