PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

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

  1. oh, watch [//] one, two, three knives . MOT · eng_USA_Valian/19a.cha, line 331 · 19A 2;08
  2. +" nine one three three Swiss made . MOT · eng_USA_Valian/19a.cha, line 419 · 19A 2;08
  3. +" nine one three three Swiss made . MOT · eng_USA_Valian/19a.cha, line 419 · 19A 2;08
  4. oh [=? no], watch, there are three, aren't there ? MOT · eng_USA_Valian/19a.cha, line 552 · 19A 2;08
  5. three spoons . MOT · eng_USA_Valian/19a.cha, line 555 · 19A 2;08
  1. eng_USA_Valian/19a.cha, line 331 · 19A, 2;8.15
    MOThow many are there ?
    CHIone, two, three, four, five .
    MOT*MOT: oh, watch [//] one, two, three knives .
    CHIthey're very sharp .
    MOTmm .
  2. eng_USA_Valian/19a.cha, line 419 · 19A, 2;8.15
    CHIxxx .
    MOTlet's see # says +"/.
    MOT*MOT: +" nine one three three Swiss made .
    MOTI think .
    CHIxxx .
  3. eng_USA_Valian/19a.cha, line 552 · 19A, 2;8.15
    MOThow many spoons are there ?
    CHIone two three four of them ?
    MOT*MOT: oh [=? no], watch, there are three, aren't there ?
    MOTthree spoons .
    MOTuhoh .
  4. eng_USA_Valian/19a.cha, line 555 · 19A, 2;8.15
    CHIone two three four of them ?
    MOToh [=? no], watch, there are three, aren't there ?
    MOT*MOT: three spoons .
    MOTuhoh .
    CHImy chair falled down .

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_Valian3.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/19a.cha19A 2;8.151,309453.82

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. three5 · 100.0%