PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (523 utterances, 2,040 words searched).

  1. perhaps her hair ribbon might be in there . MOT · eng_british_Manchester_I/anne24b.cha, line 1105 · Anne 2;06
  2. that's not her hair ribbon ,, is it ? MOT · eng_british_Manchester_I/anne24b.cha, line 1145 · Anne 2;06
  3. xxx that ribbon's on her dress . MOT · eng_british_Manchester_I/anne24b.cha, line 1156 · Anne 2;06
  4. shall I see if I can find a ribbon for her hair ? MOT · eng_british_Manchester_I/anne24b.cha, line 1406 · Anne 2;06
  5. we might be able to find a decent ribbon . MOT · eng_british_Manchester_I/anne24b.cha, line 1418 · Anne 2;06
  6. there's a ribbon . MOT · eng_british_Manchester_I/anne24b.cha, line 1425 · Anne 2;06
  7. can we give her that ribbon ? MOT · eng_british_Manchester_I/anne24b.cha, line 1427 · Anne 2;06
  1. MOTgo on then .
    MOThave a look and see if it's in there .
    MOT*MOT: perhaps her hair ribbon might be in there .
    MOTto tie up her hair .
    MOToh .
  2. MOTthat willn't undo .
    MOTthere we are .
    MOT*MOT: that's not her hair ribbon ,, is it ?
    MOTno .
    MOTthat's just her bib .
  3. CHIoh dear .
    MOToh dear .
    MOT*MOT: xxx that ribbon's on her dress .
    MOTright then .
    MOTwhere's her pants ?
  4. MOTand which is gonna [: going to] wear the bib ?
    CHIthis one .
    MOT*MOT: shall I see if I can find a ribbon for her hair ?
    CHIyes [>] .
    MOTshall [<] I look for one ?
  5. MOTlet me see if I can find one .
    CHIoh .
    MOT*MOT: we might be able to find a decent ribbon .
    MOToh .
    CHIthere 0is [*] a ribbon .
  6. MOToh .
    CHIthere 0is [*] a ribbon .
    MOT*MOT: there's a ribbon .
    MOTcan we give her that ribbon ?
    MOTright .
  7. CHIthere 0is [*] a ribbon .
    MOTthere's a ribbon .
    MOT*MOT: can we give her that ribbon ?
    MOTright .
    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_I3.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne24b.chaAnne 2;6.042,040773.43

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. ribbon7 · 100.0%