PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. what about this teddy+bear ? MOT · eng_british_Manchester_I/anne25a.cha, line 185 · Anne 2;06
  2. because you don't know about those yet . MOT · eng_british_Manchester_I/anne25a.cha, line 395 · Anne 2;06
  3. what about this one , Anne ? MOT · eng_british_Manchester_I/anne25a.cha, line 398 · Anne 2;06
  4. what about +//. MOT · eng_british_Manchester_I/anne25a.cha, line 400 · Anne 2;06
  5. and what about Dippy_Duck ? MOT · eng_british_Manchester_I/anne25a.cha, line 1009 · Anne 2;06
  6. what's the story about Dippy_Duck then ? MOT · eng_british_Manchester_I/anne25a.cha, line 1015 · Anne 2;06
  7. what about his eyes and nose and mouth now . MOT · eng_british_Manchester_I/anne25a.cha, line 1414 · Anne 2;06
  1. MOTand I think it probably goes with an egg cup .
    MOTin the other game .
    MOT*MOT: what about this teddy+bear ?
    MOTthat's an easy one ,, isn't it ?
    CHIthere .
  2. MOThere it is .
    MOTthat's a hard one ,, isn't it ?
    MOT*MOT: because you don't know about those yet .
    MOTwhat about this one , Anne ?
    MOTwhat about +//.
  3. MOTthat's a hard one ,, isn't it ?
    MOTbecause you don't know about those yet .
    MOT*MOT: what about this one , Anne ?
    MOTwhat about +//.
    MOTwhat goes with the spider ?
  4. MOTbecause you don't know about those yet .
    MOTwhat about this one , Anne ?
    MOT*MOT: what about +//.
    MOTwhat goes with the spider ?
    MOTyes .
  5. CHIhe is .
    MOTis he ?
    MOT*MOT: and what about Dippy_Duck ?
    CHIDippy_Duck is .
    MOTuhhum .
  6. CHIDippy_Duck is .
    MOTuhhum .
    MOT*MOT: what's the story about Dippy_Duck then ?
    MOToh I know .
    CHIyes .
  7. MOTgoodness me .
    MOThe's huge .
    MOT*MOT: what about his eyes and nose and mouth now .
    MOTthat's it .
    CHInose .

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_I2.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne25a.chaAnne 2;6.292,355772.97

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. about7 · 100.0%