PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

22.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (88 utterances, 267 words searched).

  1. I am . FAT · bilingual_eng_span_Perez/alberto08.cha, line 47 · Alberto 2;04
  2. but I need to learn! FAT · bilingual_eng_span_Perez/alberto08.cha, line 49 · Alberto 2;04
  3. no, I was born in America . FAT · bilingual_eng_span_Perez/alberto08.cha, line 118 · Alberto 2;04
  4. [- sings] I want to live in America I want to be in America . MOT · bilingual_eng_span_Perez/alberto08.cha, line 119 · Alberto 2;04
  5. [- sings] I want to live in America I want to be in America . MOT · bilingual_eng_span_Perez/alberto08.cha, line 119 · Alberto 2;04
  6. that (i)s great . MOT · bilingual_eng_span_Perez/alberto08.cha, line 154 · Alberto 2;04
  1. bilingual_eng_span_Perez/alberto08.cha, line 47 · Alberto, 2;4.
    CHIthen you (a)re not .
    MOTyes .
    FAT*FAT: I am .
    CHIyou (a)re not!
    FATbut I need to learn!
  2. bilingual_eng_span_Perez/alberto08.cha, line 49 · Alberto, 2;4.
    FATI am .
    CHIyou (a)re not!
    FAT*FAT: but I need to learn!
    FATokey nacio .
    MOTnació .
  3. bilingual_eng_span_Perez/alberto08.cha, line 118 · Alberto, 2;4.
    FATwww.
    CHIyou born into Africa?
    FAT*FAT: no, I was born in America .
    MOT[- sings] I want to live in America I want to be in America .
    FATarriba &=yawn y un árbol de almendras para la ardilla almuerza mientras su amiga la abeja abajo de hambre .
  4. bilingual_eng_span_Perez/alberto08.cha, line 119 · Alberto, 2;4.
    CHIyou born into Africa?
    FATno, I was born in America .
    MOT*MOT: [- sings] I want to live in America I want to be in America .
    FATarriba &=yawn y un árbol de almendras para la ardilla almuerza mientras su amiga la abeja abajo de hambre .
    MOTde xx .
  5. bilingual_eng_span_Perez/alberto08.cha, line 154 · Alberto, 2;4.
    CHII have two toys in my bed .
    MOTyou have two toys in your bed?
    MOT*MOT: that (i)s great .
    MOTwww.
    FATwww.

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. Alberto bilingual_eng_span_Perez22.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_span_Perez/alberto08.chaAlberto 2;4.2675622.47

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. i6 · 100.0%