PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.52 per 1,000 words of the child (CHI), in 1 of 1 transcripts (285 utterances, 853 words searched).

  1. bon . 1668576_1668781 CHI · french/york_para017.cha, line 1573 · Anne 2;06
  2. bon . 1669712_1670398 CHI · french/york_para017.cha, line 1577 · Anne 2;06
  3. bon . 1671149_1671807 CHI · french/york_para017.cha, line 1581 · Anne 2;06
  1. NOUbon „ on va mettre ça . 1664726_1666477
    MOTsi tu veux . 1666477_1668576
    CHI*CHI: bon . 1668576_1668781
    MOTbon &=laugh . 1668781_1669712
    CHIbon . 1669712_1670398
  2. CHIbon . 1668576_1668781
    MOTbon &=laugh . 1668781_1669712
    CHI*CHI: bon . 1669712_1670398
    MOTbon . 1670398_1671149
    CHIbon . 1671149_1671807
  3. CHIbon . 1669712_1670398
    MOTbon . 1670398_1671149
    CHI*CHI: bon . 1671149_1671807
    CHIoh . 1671807_1674152
    MOTtu 0ne lui mets pas sur les épaules ? 1674152_1676261

Matches by age

One dot per transcript: matches per 1,000 words of the child (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 french3.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/york_para017.chaAnne 2;6.18853333.52

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. bon3 · 100.0%