PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

4.17 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (178 utterances, 719 words searched).

  1. …you can keep talking and your image will be continuous so you have to say cheese all the time . FAT · bilingual_eng_Deuchar/870823ej.cha, line 20 · M 2;01
  2. well how do you say that in English ? MOT · bilingual_eng_Deuchar/870823ej.cha, line 250 · M 2;01
  3. no how do you say that in English ? MOT · bilingual_eng_Deuchar/870823ej.cha, line 254 · M 2;01
  1. bilingual_eng_Deuchar/870823ej.cha, line 20 · M, 2;1.20
    JOScheese [/] [>] cheese .
    FATJoshua [<] <that's not> [/] that's not really like a photo .
    FAT*FAT: that's life like television so you can keep talking and your image will be continuous so you have to say cheese all the time .
    FATright ?
    FATyou know # when you watch television when you watch videos it's the same thing .
  2. bilingual_eng_Deuchar/870823ej.cha, line 250 · M, 2;1.20
    MOTtell him in English M .
    CHIfrio .
    MOT*MOT: well how do you say that in English ?
    CHIsorry .
    MOTno how do you say that in English ?
  3. bilingual_eng_Deuchar/870823ej.cha, line 254 · M, 2;1.20
    MOTwell how do you say that in English ?
    CHIsorry .
    MOT*MOT: no how do you say that in English ?
    CHIwet .
    MOTwet ?

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. M bilingual_eng_Deuchar4.17
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/870823ej.chaM 2;1.20719334.17

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. say3 · 100.0%