PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (651 utterances, 2,378 words searched).

  1. here we go . MOT · eng_british_Manchester_I/anne30b.cha, line 333 · Anne 2;07
  2. here it comes . MOT · eng_british_Manchester_I/anne30b.cha, line 842 · Anne 2;07
  3. here we are . MOT · eng_british_Manchester_I/anne30b.cha, line 877 · Anne 2;07
  4. here , Anne . MOT · eng_british_Manchester_I/anne30b.cha, line 893 · Anne 2;07
  5. there's some new animals I think in here . MOT · eng_british_Manchester_I/anne30b.cha, line 958 · Anne 2;07
  6. here . MOT · eng_british_Manchester_I/anne30b.cha, line 1219 · Anne 2;07
  7. we use these ones in here because they [/] they're not likely to get on the floor then . MOT · eng_british_Manchester_I/anne30b.cha, line 1236 · Anne 2;07
  8. here goes then . MOT · eng_british_Manchester_I/anne30b.cha, line 1484 · Anne 2;07
  1. MOTwe're so excited because we're going to see play+days .
    MOThooray .
    MOT*MOT: here we go .
    MOTup the big stairs .
    MOTright .
  2. MOTit's <behind the> [/] behind the bush I think .
    MOTher toys ,, isn't it ?
    MOT*MOT: here it comes .
    CHIshall I go and see ?
    MOTare you gonna [: going to] go and see ?
  3. MOTare they coming ?
    MOTgood good good .
    MOT*MOT: here we are .
    MOTwe've got some in the kitchen ,, haven't we that we +...
    MOTwe sorted out Anne's kitchen and we've got to put these back ,, haven't we ?
  4. MOTthere .
    INVwww .
    MOT*MOT: here , Anne .
    MOTAnne .
    MOToh .
  5. CHIpoorly .
    MOTthey're new ,, aren't they ?
    MOT*MOT: there's some new animals I think in here .
    MOTwww .
    MOTlook .
  6. MOTokay .
    CHIwhere's my nummy@c ?
    MOT*MOT: here .
    MOTthere .
    CHInummy@c .
  7. CHII need a big pencil .
    MOTwell .
    MOT*MOT: we use these ones in here because they [/] they're not likely to get on the floor then .
    CHII lots .
    MOTwww .
  8. MOTI think .
    MOTright .
    MOT*MOT: here goes then .
    MOTwhat shall I color in orange ?
    MOTwhat's that ?

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_I3.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne30b.chaAnne 2;7.292,378883.36

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. here8 · 100.0%