PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (576 utterances, 2,207 words searched).

  1. let's have a look and see what spaces there are . MOT · eng_british_Manchester_I/anne31a.cha, line 122 · Anne 2;08
  2. I tell you what , look . MOT · eng_british_Manchester_I/anne31a.cha, line 207 · Anne 2;08
  3. what you need to do is you need to look for the ducks in these pages . MOT · eng_british_Manchester_I/anne31a.cha, line 238 · Anne 2;08
  4. but then what's he got , look ? MOT · eng_british_Manchester_I/anne31a.cha, line 322 · Anne 2;08
  5. look . MOT · eng_british_Manchester_I/anne31a.cha, line 337 · Anne 2;08
  6. here's your magic bag , look . MOT · eng_british_Manchester_I/anne31a.cha, line 1648 · Anne 2;08
  1. MOTare you very tired ?
    MOTperhaps +//.
    MOT*MOT: let's have a look and see what spaces there are .
    MOToh .
    MOTthere's a space there for <the pig with> [//] Chloe the pig with his head in the bucket .
  2. MOTthere it is .
    CHIyou 0have [*] got one of the big xxx .
    MOT*MOT: I tell you what , look .
    MOTif it goes that way up <we get the> [//] that's because it (ha)s got the piggy's bottom on ,, hasn't it ?
    MOTthere we are .
  3. CHIdo [/] do you need a sticker on there ?
    MOTum no .
    MOT*MOT: what you need to do is you need to look for the ducks in these pages .
    MOTand when you've found a duck .
    MOTthat there .
  4. CHISammy_snake .
    MOTthat's right .
    MOT*MOT: but then what's he got , look ?
    CHIAnne .
    MOTa@l for Anne ?
  5. MOTCurly +//.
    MOToh no .
    MOT*MOT: look .
    MOTwhere do we want a Curly ?
    MOTdo we want Curly on that page ?
  6. CHIplaster in here .
    MOTis there a plaster in your magic bag ?
    MOT*MOT: here's your magic bag , look .
    CHIgot some +/.
    CHIoh .

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_I2.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne31a.chaAnne 2;8.242,207662.72

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. look6 · 100.0%