PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

25.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (32 utterances, 118 words searched).

  1. [- to MOT] xx xx Clare. FAT · bilingual_eng_french_Watkins/c2zan13.cha, line 37 · Christophe 5;10
  2. that's yorking <about in the lion's club> [>] to be like a gypsy . MOT · bilingual_eng_french_Watkins/c2zan13.cha, line 39 · Christophe 5;10
  3. to do lucky dips with . MOT · bilingual_eng_french_Watkins/c2zan13.cha, line 42 · Christophe 5;10
  1. FATavec quoi ?
    CH5avec sðæt@u .
    FAT*FAT: [- to MOT] xx xx Clare.
    MOTwhat ?
    MOTthat's yorking <about in the lion's club> [>] to be like a gypsy .
  2. FAT[- to MOT] xx xx Clare.
    MOTwhat ?
    MOT*MOT: that's yorking <about in the lion's club> [>] to be like a gypsy .
    CH5<xx's [*] for me [*]> [<] .
    CH5n'import+quoi !
  3. CH5<xx's [*] for me [*]> [<] .
    CH5n'import+quoi !
    MOT*MOT: to do lucky dips with .
    CH5Maman ?
    MOTwhat have you found ?

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. Christophe bilingual_eng_french_Watkins25.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c2zan13.chaChristophe 5;10.281183325.42

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.

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