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. funny . MOT · eng_USA_Bloom/allison4.cha, line 280 · Allison 1;10
  2. funny . MOT · eng_USA_Bloom/allison4.cha, line 988 · Allison 1;10
  3. that (i)s funny . MOT · eng_USA_Bloom/allison4.cha, line 990 · Allison 1;10
  4. that (i)s funny . MOT · eng_USA_Bloom/allison4.cha, line 1833 · Allison 1;10
  5. that (i)s very funny . MOT · eng_USA_Bloom/allison4.cha, line 1835 · Allison 1;10
  1. CHImm .
    MOToh .
    MOT*MOT: funny .
    CHIAllison cookie .
    MOTAllison's cookie, mm .
  2. MOThmm .
    CHIfunny .
    MOT*MOT: funny .
    MOTthat (i)s funny .
    CHItruck .
  3. CHIfunny .
    MOTfunny .
    MOT*MOT: that (i)s funny .
    CHItruck .
    CHIschool .
  4. MOTsqueezing cup .
    CHIfunny .
    MOT*MOT: that (i)s funny .
    MOTthat (i)s very funny .
    CHIxxx .
  5. CHIfunny .
    MOTthat (i)s funny .
    MOT*MOT: that (i)s very funny .
    CHIxxx .
    MOTwhat ?

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. funny5 · 100.0%