PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

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

  1. that's right . MOT · eng_british_Manchester_I/anne25a.cha, line 211 · Anne 2;06
  2. that's right . MOT · eng_british_Manchester_I/anne25a.cha, line 292 · Anne 2;06
  3. that's right . MOT · eng_british_Manchester_I/anne25a.cha, line 334 · Anne 2;06
  4. that's right . MOT · eng_british_Manchester_I/anne25a.cha, line 860 · Anne 2;06
  5. that's right . MOT · eng_british_Manchester_I/anne25a.cha, line 957 · Anne 2;06
  6. let's see if we drew all the right things . MOT · eng_british_Manchester_I/anne25a.cha, line 1151 · Anne 2;06
  7. right . MOT · eng_british_Manchester_I/anne25a.cha, line 1267 · Anne 2;06
  8. oh right . MOT · eng_british_Manchester_I/anne25a.cha, line 1455 · Anne 2;06
  9. oh right . MOT · eng_british_Manchester_I/anne25a.cha, line 1545 · Anne 2;06
  10. right . MOT · eng_british_Manchester_I/anne25a.cha, line 1562 · Anne 2;06
  1. MOTnow .
    MOTwhat do you think goes in that box ?
    MOT*MOT: that's right .
    MOTthat puppet .
    MOTit's called a Jack_in_the_box .
  2. MOTwhat's that teapot lost ?
    MOToh .
    MOT*MOT: that's right .
    MOTneeds a lid .
    MOTwhat've you lost ?
  3. CHItoothpaste .
    MOTthe toothpaste .
    MOT*MOT: that's right .
    MOTthink somebody's squeezed that toothpaste ,, haven't they ?
    CHII did .
  4. MOTwhose name starts with golden+girl ?
    CHIGrandma and Grandad .
    MOT*MOT: that's right .
    CHIJumping_Jim .
    MOTJumping_Jim .
  5. CHIwater+witch .
    MOTwicked water+witch .
    MOT*MOT: that's right .
    CHIdo picture .
    CHIdo this picture .
  6. MOToh .
    MOTwhat did +//.
    MOT*MOT: let's see if we drew all the right things .
    MOTsee if there's anything we missed .
    MOTwe drew the swings .
  7. MOTand who's pushing you ?
    CHIDaddy .
    MOT*MOT: right .
    MOTwe'd better draw Daddy pushing you .
    MOToh .
  8. MOTlooks like a Munching_Mike that does .
    MOTthat's a big Munching_Mike .
    MOT*MOT: oh right .
    MOTokay .
    MOTis that one done ?
  9. MOTdo your name now .
    CHIyou do my name with this pen .
    MOT*MOT: oh right .
    MOTI'm doing it with that pen now .
    MOTdo you want this +/.
  10. CHIyou were making mine's [*] wrong .
    MOToh .
    MOT*MOT: right .
    MOTwhat've I done wrong ?
    CHII haven't got one .

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_I4.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne25a.chaAnne 2;6.292,35510104.25

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. right10 · 100.0%