PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (749 utterances, 2,641 words searched).

  1. where's Caitlin today , Anne ? MOT · eng_british_Manchester_I/anne11a.cha, line 1460 · Anne 2;01
  2. is Caitlin gonna [: going to] smile ? MOT · eng_british_Manchester_I/anne11a.cha, line 1489 · Anne 2;01
  3. just turn your head round , Caitlin . MOT · eng_british_Manchester_I/anne11a.cha, line 1491 · Anne 2;01
  4. is Caitlin gonna [: going to] read it ? MOT · eng_british_Manchester_I/anne11a.cha, line 1568 · Anne 2;01
  5. here you are , Caitlin . MOT · eng_british_Manchester_I/anne11a.cha, line 1593 · Anne 2;01
  6. Caitlin . MOT · eng_british_Manchester_I/anne11a.cha, line 1601 · Anne 2;01
  7. Caitlin would like to sit in the push+chair . MOT · eng_british_Manchester_I/anne11a.cha, line 2025 · Anne 2;01
  1. MOTgo and choose another one then .
    MOToh .
    MOT*MOT: where's Caitlin today , Anne ?
    CHIxxx .
    MOThas she gone in there ?
  2. CHIsmile , Caitlin .
    MOTokay .
    MOT*MOT: is Caitlin gonna [: going to] smile ?
    MOTjust turn your head round , Caitlin .
    MOTthere we go .
  3. MOTokay .
    MOTis Caitlin gonna [: going to] smile ?
    MOT*MOT: just turn your head round , Caitlin .
    MOTthere we go .
    MOTis she smiling ?
  4. CHIread a book .
    MOTwww .
    MOT*MOT: is Caitlin gonna [: going to] read it ?
    MOTyeah ?
    MOTaren't you gonna [: going to] help her read it ?
  5. MOTyeah ?
    MOTwe're gonna [: going to] both [//] all look .
    MOT*MOT: here you are , Caitlin .
    MOTyou snuggle in .
    MOToh .
  6. MOToh .
    MOTwhat's happened ?
    MOT*MOT: Caitlin .
    MOTcome on .
    MOTsit up .
  7. MOTpardon ?
    MOTwhat're you doing with that ?
    MOT*MOT: Caitlin would like to sit in the push+chair .
    CHIokay .
    MOTokay .

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_I2.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne11a.chaAnne 2;1.202,641772.65

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. caitlin7 · 100.0%