PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,309 words searched).

  1. yes . INV · eng_USA_Valian/19a.cha, line 52 · 19A 2;08
  2. yes, it is . MOT · eng_USA_Valian/19a.cha, line 92 · 19A 2;08
  3. yes, they are, honey . MOT · eng_USA_Valian/19a.cha, line 497 · 19A 2;08
  4. yes . MOT · eng_USA_Valian/19a.cha, line 1017 · 19A 2;08
  1. eng_USA_Valian/19a.cha, line 52 · 19A, 2;8.15
    INVyeah, eventually but it'll probably take a couple of months before it gets written up .
    MOTI was just wondering what kind of feedback we'd get .
    INV*INV: yes .
    MOTxxx .
    INVonce I have collected um some data then I'll I'll do a short write+up for the parents so that +/.
  2. eng_USA_Valian/19a.cha, line 92 · 19A, 2;8.15
    CHIthe beater's hot .
    MOToh, the beater's hot .
    MOT*MOT: yes, it is .
    CHIcan I have some tea ?
    MOTokay .
  3. eng_USA_Valian/19a.cha, line 497 · 19A, 2;8.15
    MOTmhm .
    CHIthose [=? Most] knives are sharp .
    MOT*MOT: yes, they are, honey .
    MOTthose are special ones .
    CHIwha(t)'s that ?
  4. eng_USA_Valian/19a.cha, line 1017 · 19A, 2;8.15
    MOTI want some of those forks .
    CHIno .
    MOT*MOT: yes .
    CHIno .
    MOTgimme that fork .

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. 19A eng_USA_Valian3.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/19a.cha19A 2;8.151,309443.06

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. yes4 · 100.0%