PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (512 utterances, 2,151 words searched).

  1. is that a hippo ? MOT · eng_british_Manchester_II/nic02a.cha, line 345 · Nicole 2;01
  2. can you say hippo ? MOT · eng_british_Manchester_II/nic02a.cha, line 349 · Nicole 2;01
  3. a hippo . MOT · eng_british_Manchester_II/nic02a.cha, line 408 · Nicole 2;01
  4. it's a red hippo . MOT · eng_british_Manchester_II/nic02a.cha, line 434 · Nicole 2;01
  5. where's the hippo ? INV · eng_british_Manchester_II/nic02a.cha, line 469 · Nicole 2;01
  1. eng_british_Manchester_II/nic02a.cha, line 345 · Nicole, 2;1.01
    INVwww .
    MOTwhat's that ?
    MOT*MOT: is that a hippo ?
    CHIxxx .
    MOTcan you say hippo ?
  2. eng_british_Manchester_II/nic02a.cha, line 349 · Nicole, 2;1.01
    MOTis that a hippo ?
    CHIxxx .
    MOT*MOT: can you say hippo ?
    MOTare you going to say them ?
    MOTwhat they are .
  3. eng_british_Manchester_II/nic02a.cha, line 408 · Nicole, 2;1.01
    MOTand show Caroline [//] Rachel .
    MOTand what's that ?
    MOT*MOT: a hippo .
    MOTa monkey .
    MOTa lion .
  4. eng_british_Manchester_II/nic02a.cha, line 434 · Nicole, 2;1.01
    MOTit's not a red car .
    MOTthe color's red though , isn't it ?
    MOT*MOT: it's a red hippo .
    MOTand what color's that ?
    MOTis that green ?
  5. eng_british_Manchester_II/nic02a.cha, line 469 · Nicole, 2;1.01
    INVare you going to pop him up so we can see him ?
    CHIyeah .
    INV*INV: where's the hippo ?
    INVwhere's the # elephant ?
    CHIthere .

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. Nicole eng_british_Manchester_II2.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic02a.chaNicole 2;1.012,151552.32

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. hippo5 · 100.0%