PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (424 utterances, 1,613 words searched).

  1. so you have to be careful . MOT · eng_USA_Bloom/allison4.cha, line 1429 · Allison 1;10
  2. be +... MOT · eng_USA_Bloom/allison4.cha, line 1480 · Allison 1;10
  3. be careful ! MOT · eng_USA_Bloom/allison4.cha, line 1485 · Allison 1;10
  4. yes, please be careful . MOT · eng_USA_Bloom/allison4.cha, line 1489 · Allison 1;10
  5. be careful . MOT · eng_USA_Bloom/allison4.cha, line 1582 · Allison 1;10
  1. CHIsharp .
    MOTit (i)s sharp .
    MOT*MOT: so you have to be careful .
    CHIback .
    MOTwhat (i)s on your back ?
  2. MOTor did he hurt the +...
    CHIbe careful !
    MOT*MOT: be +...
    CHIsharp !
    MOTbe careful !
  3. MOTbe +...
    CHIsharp !
    MOT*MOT: be careful !
    MOTit (i)s sharp !
    MOTyes, please be careful .
  4. MOTbe careful !
    MOTit (i)s sharp !
    MOT*MOT: yes, please be careful .
    CHIstanding up .
    CHIcookie .
  5. MOTwhat are you doing ?
    MOToh careful .
    MOT*MOT: be careful .
    CHIbuild tower !
    MOTbuild tower !

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. Allison eng_USA_Bloom3.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/allison4.chaAllison 1;10.1,613553.10

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. be5 · 100.0%