PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. mhm . MOT · eng_USA_Valian/19a.cha, line 292 · 19A 2;08
  2. mhm . MOT · eng_USA_Valian/19a.cha, line 298 · 19A 2;08
  3. mhm . MOT · eng_USA_Valian/19a.cha, line 383 · 19A 2;08
  4. mhm . MOT · eng_USA_Valian/19a.cha, line 402 · 19A 2;08
  5. mhm ? MOT · eng_USA_Valian/19a.cha, line 426 · 19A 2;08
  6. mhm . MOT · eng_USA_Valian/19a.cha, line 493 · 19A 2;08
  7. mhm . MOT · eng_USA_Valian/19a.cha, line 1149 · 19A 2;08
  1. CHIxx .
    CHII got a knife .
    MOT*MOT: mhm .
    CHIis a knife .
    CHII got a knife .
  2. CHIis a knife .
    CHII got a knife .
    MOT*MOT: mhm .
    CHI# I've got some forks .
    MOTwhat are you gonna do with them ?
  3. CHIxx .
    CHImilk xxx .
    MOT*MOT: mhm .
    CHIxxx .
    CHIcan I [% background noise] xxx enough xxx .
  4. MOTmm .
    CHIthose knives are sharp .
    MOT*MOT: mhm .
    MOTlook at this knife, Child, this says something on it .
    MOTwhat do you think that says ?
  5. MOTI think .
    CHIxxx .
    MOT*MOT: mhm ?
    MOTyou think so too ?
    CHIxxx .
  6. CHImost knives are sharp .
    CHImost knives are sharp .
    MOT*MOT: mhm .
    CHIthose [=? Most] knives are sharp .
    MOTyes, they are, honey .
  7. MOThow many spoons are up here ?
    CHIxxx .
    MOT*MOT: mhm .
    CHIxxx .
    MOToh, it's all dirty ?

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_Valian5.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/19a.cha19A 2;8.151,309775.35

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. mhm7 · 100.0%