PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (606 utterances, 3,010 words searched).

  1. and there's a cow . MOT · eng_british_Manchester_I/aran13b.cha, line 467 · Aran 2;03
  2. are you going to put a cow in ,, are you ? MOT · eng_british_Manchester_I/aran13b.cha, line 501 · Aran 2;03
  3. there's the cow . MOT · eng_british_Manchester_I/aran13b.cha, line 522 · Aran 2;03
  4. do you want the cow to stand up there ? MOT · eng_british_Manchester_I/aran13b.cha, line 524 · Aran 2;03
  5. and where's the cow ? MOT · eng_british_Manchester_I/aran13b.cha, line 534 · Aran 2;03
  6. here's the cow . MOT · eng_british_Manchester_I/aran13b.cha, line 536 · Aran 2;03
  7. the cow can go in ,, can't it ? MOT · eng_british_Manchester_I/aran13b.cha, line 538 · Aran 2;03
  1. MOTare you going to put some animals on the board ?
    MOTthere's a horse .
    MOT*MOT: and there's a cow .
    MOTand there's a bull .
    MOTand there's some chickens .
  2. MOTis there another fence ?
    CHIget a cow .
    MOT*MOT: are you going to put a cow in ,, are you ?
    MOToh here we are .
    MOThere's another fence .
  3. MOThere we are .
    MOTthere's the horse standing up .
    MOT*MOT: there's the cow .
    MOTdo you want the cow to stand up there ?
    MOTwell we'll put the bull up there then .
  4. MOTthere's the horse standing up .
    MOTthere's the cow .
    MOT*MOT: do you want the cow to stand up there ?
    MOTwell we'll put the bull up there then .
    MOTright .
  5. MOTright .
    MOTthere we are .
    MOT*MOT: and where's the cow ?
    MOThere's the cow .
    MOTthe cow can go in ,, can't it ?
  6. MOTthere we are .
    MOTand where's the cow ?
    MOT*MOT: here's the cow .
    MOTthe cow can go in ,, can't it ?
    MOTthere we are .
  7. MOTand where's the cow ?
    MOThere's the cow .
    MOT*MOT: the cow can go in ,, can't it ?
    MOTthere we are .
    MOTthe little chickens .

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. Aran eng_british_Manchester_I2.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/aran13b.chaAran 2;3.153,010772.33

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. cow7 · 100.0%