PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (605 utterances, 2,355 words searched).

  1. and what about Dippy_Duck ? MOT · eng_british_Manchester_I/anne25a.cha, line 1009 · Anne 2;06
  2. what's the story about Dippy_Duck then ? MOT · eng_british_Manchester_I/anne25a.cha, line 1015 · Anne 2;06
  3. where does Dippy_Duck go ? MOT · eng_british_Manchester_I/anne25a.cha, line 1024 · Anne 2;06
  4. and Dippy_Duck dress [/] dresses up as a detective ,, doesn't he ? MOT · eng_british_Manchester_I/anne25a.cha, line 1046 · Anne 2;06
  5. there's Dippy_Duck all dressed up as a detective ,, isn't he ? MOT · eng_british_Manchester_I/anne25a.cha, line 1056 · Anne 2;06
  6. there's Dippy_Duck . MOT · eng_british_Manchester_I/anne25a.cha, line 1065 · Anne 2;06
  1. eng_british_Manchester_I/anne25a.cha, line 1009 · Anne, 2;6.29
    CHIhe is .
    MOTis he ?
    MOT*MOT: and what about Dippy_Duck ?
    CHIDippy_Duck is .
    MOTuhhum .
  2. eng_british_Manchester_I/anne25a.cha, line 1015 · Anne, 2;6.29
    CHIDippy_Duck is .
    MOTuhhum .
    MOT*MOT: what's the story about Dippy_Duck then ?
    MOToh I know .
    CHIyes .
  3. eng_british_Manchester_I/anne25a.cha, line 1024 · Anne, 2;6.29
    CHIyes .
    CHIhe's .
    MOT*MOT: where does Dippy_Duck go ?
    MOThe goes to a party ,, doesn't he ?
    MOTand he has to dress up ?
  4. eng_british_Manchester_I/anne25a.cha, line 1046 · Anne, 2;6.29
    MOTthey do ,, don't they ?
    CHIand Dippy_Duck do .
    MOT*MOT: and Dippy_Duck dress [/] dresses up as a detective ,, doesn't he ?
    MOTI think we've probably got that story here ,, haven't we ?
    MOTthere he is , look .
  5. eng_british_Manchester_I/anne25a.cha, line 1056 · Anne, 2;6.29
    MOTthere he is , look .
    CHIgolden xxx .
    MOT*MOT: there's Dippy_Duck all dressed up as a detective ,, isn't he ?
    CHIoh .
    CHIthere 0is [*] Clever_Cat .
  6. eng_british_Manchester_I/anne25a.cha, line 1065 · Anne, 2;6.29
    CHIthere 0is [*] Clever_Cat .
    MOTthere's a Clever_Cat .
    MOT*MOT: there's Dippy_Duck .
    CHIwant to xxx .
    MOTpardon ?

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. Anne eng_british_Manchester_I2.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne25a.chaAnne 2;6.292,355662.55

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. dippy_duck6 · 100.0%