PHPCLANCHILDES with regular expressions

11 matches in 2 utterances

2.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (933 utterances, 3,889 words searched).

  1. be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o . MOT · eng_USA_Valian/02b.cha, line 2100 · 02B 1;09
  2. be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o . MOT · eng_USA_Valian/02b.cha, line 2100 · 02B 1;09
  3. be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o . MOT · eng_USA_Valian/02b.cha, line 2100 · 02B 1;09
  4. be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o . MOT · eng_USA_Valian/02b.cha, line 2100 · 02B 1;09
  5. be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o . MOT · eng_USA_Valian/02b.cha, line 2100 · 02B 1;09
  6. be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o . MOT · eng_USA_Valian/02b.cha, line 2102 · 02B 1;09
  7. be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o . MOT · eng_USA_Valian/02b.cha, line 2102 · 02B 1;09
  8. be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o . MOT · eng_USA_Valian/02b.cha, line 2102 · 02B 1;09
  9. be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o . MOT · eng_USA_Valian/02b.cha, line 2102 · 02B 1;09
  10. be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o . MOT · eng_USA_Valian/02b.cha, line 2102 · 02B 1;09
  11. be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o . MOT · eng_USA_Valian/02b.cha, line 2102 · 02B 1;09
  1. eng_USA_Valian/02b.cha, line 2100 · 02B, 1;9.28
    MOTwe'll move some of the trucks .
    MOTand the horses will gallop .
    MOT*MOT: be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o .
    MOTbe_boom@o be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o .
    MOTover here, by the trucks, they're gonna stand .
  2. eng_USA_Valian/02b.cha, line 2102 · 02B, 1;9.28
    MOTand the horses will gallop .
    MOTbe_boom@o be_boom@o be_boom@o be_boom@o be_boom@o .
    MOT*MOT: be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o be_boom@o .
    MOTover here, by the trucks, they're gonna stand .
    MOTand now you have some room, to do some things with these pegs .

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. 02B eng_USA_Valian2.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/02b.cha02B 1;9.283,8892112.83

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. be_boom11 · 100.0%