PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

4.70 per 1,000 words of the child (CHI), in 1 of 1 transcripts (343 utterances, 638 words searched).

  1. my [>] put on # my hat . CHI · bilingual_eng_Genesee/oli23b11m.cha, line 136 · Olivier 2;10
  2. on va au yyy parc, Bruno ! CHI · bilingual_eng_Genesee/oli23b11m.cha, line 1135 · Olivier 2;10
  3. on table . CHI · bilingual_eng_Genesee/oli23b11m.cha, line 1678 · Olivier 2;10
  1. bilingual_eng_Genesee/oli23b11m.cha, line 136 · Olivier, 2;10.29
    CHIwater .
    MOTyeah .
    CHI*CHI: my [>] put on # my hat .
    MOT<lots of> [<] +/.
    MOTyou want your hat ?
  2. bilingual_eng_Genesee/oli23b11m.cha, line 1135 · Olivier, 2;10.29
    CHIyyy after ?
    MOTyeah, after .
    CHI*CHI: on va au yyy parc, Bruno !
    FATokay .
    OBS0.
  3. bilingual_eng_Genesee/oli23b11m.cha, line 1678 · Olivier, 2;10.29
    CHIxxx the kitchen where we eat .
    MOTon the table ?
    CHI*CHI: on table .
    MOTin the kitchen .
    MOTwhat else is on the table ?

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. Olivier bilingual_eng_Genesee4.70
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b11m.chaOlivier 2;10.29638334.70

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. on3 · 100.0%