PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (478 utterances, 1,447 words searched).

  1. horsie [=! laughs] . MOT · bilingual_french_Genesee/jes13b11m.cha, line 128 · Jessica 1;10
  2. horsie . MOT · bilingual_french_Genesee/jes13b11m.cha, line 1411 · Jessica 1;10
  3. bebe horsie mais c'est qui le bebe . MOT · bilingual_french_Genesee/jes13b11m.cha, line 1418 · Jessica 1;10
  1. bilingual_french_Genesee/jes13b11m.cha, line 128 · Jessica, 1;10.27
    MOTc'est quoi ca .
    CHIhorsie .
    MOT*MOT: horsie [=! laughs] .
    OBS0.
    MOTc'est quoi ca .
  2. bilingual_french_Genesee/jes13b11m.cha, line 1411 · Jessica, 1;10.27
    MOTc'est qui ca .
    CHIhorsie .
    MOT*MOT: horsie .
    MOTc'est qui le bebe .
    CHIbebe horsie .
  3. bilingual_french_Genesee/jes13b11m.cha, line 1418 · Jessica, 1;10.27
    MOTc'est qui le bebe .
    CHIbebe horsie .
    MOT*MOT: bebe horsie mais c'est qui le bebe .
    MOTah who's that !
    CHINicky ?

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. Jessica bilingual_french_Genesee2.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_french_Genesee/jes13b11m.chaJessica 1;10.271,447332.07

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. horsie3 · 100.0%