PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (495 utterances, 2,034 words searched).

  1. because it's quite a big cover . MOT · eng_british_Manchester_I/anne24a.cha, line 579 · Anne 2;06
  2. and this one for big teddy . MOT · eng_british_Manchester_I/anne24a.cha, line 595 · Anne 2;06
  3. have you said good+night to big teddy ? MOT · eng_british_Manchester_I/anne24a.cha, line 606 · Anne 2;06
  4. she needs a big birthday cake ,, does she ? MOT · eng_british_Manchester_I/anne24a.cha, line 984 · Anne 2;06
  5. that's a great big snowman ,, isn't it ? MOT · eng_british_Manchester_I/anne24a.cha, line 1467 · Anne 2;06
  1. eng_british_Manchester_I/anne24a.cha, line 579 · Anne, 2;6.04
    MOTI think we'd better fold it over ,, don't you ?
    CHIyeah .
    MOT*MOT: because it's quite a big cover .
    MOTthere you are , dancing bear .
    CHIthank you .
  2. eng_british_Manchester_I/anne24a.cha, line 595 · Anne, 2;6.04
    MOTokay .
    CHInight+night .
    MOT*MOT: and this one for big teddy .
    MOThow many times do I need to fold that ?
    MOTit's probably alright like that ,, isn't it ?
  3. eng_british_Manchester_I/anne24a.cha, line 606 · Anne, 2;6.04
    MOTit's probably alright like that ,, isn't it ?
    CHIneed one for that one and that +/.
    MOT*MOT: have you said good+night to big teddy ?
    CHIthey one all got +//.
    CHIthey want [//] haven't got a cover .
  4. eng_british_Manchester_I/anne24a.cha, line 984 · Anne, 2;6.04
    MOTwe've got to sing to Lucy now ,, have we ?
    CHIshe gotta [/] to have a big birthday .
    MOT*MOT: she needs a big birthday cake ,, does she ?
    MOThang on .
    MOTneeds to be that way round .
  5. eng_british_Manchester_I/anne24a.cha, line 1467 · Anne, 2;6.04
    MOTa snowman .
    MOTwow .
    MOT*MOT: that's a great big snowman ,, isn't it ?
    MOTwith a hat and a scarf and a red nose .
    MOTthere .

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_I2.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne24a.chaAnne 2;6.042,034552.46

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. big5 · 100.0%