PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (655 utterances, 2,390 words searched).

  1. there's one . MOT · eng_british_Manchester_II/nic17a.cha, line 38 · Nicole 2;06
  2. not a super+duper luxury one , is it ? MOT · eng_british_Manchester_II/nic17a.cha, line 167 · Nicole 2;06
  3. I have a little one , do I ? INV · eng_british_Manchester_II/nic17a.cha, line 448 · Nicole 2;06
  4. and what's the other one I've got ? MOT · eng_british_Manchester_II/nic17a.cha, line 484 · Nicole 2;06
  5. out one room into the other ? MOT · eng_british_Manchester_II/nic17a.cha, line 902 · Nicole 2;06
  6. I've got another one here , look . MOT · eng_british_Manchester_II/nic17a.cha, line 1925 · Nicole 2;06
  7. I'll use this one . MOT · eng_british_Manchester_II/nic17a.cha, line 1927 · Nicole 2;06
  1. MOTyeah .
    MOTput [//] get [/] get your [//] all your pizzas together then .
    MOT*MOT: there's one .
    MOT<shall we> [/] shall we take the phone out the sink otherwise it'll xxx .
    MOTthat's it .
  2. INVwe'll just have to keep an eye on the time then , willn't [//] shall we ?
    MOTit [/] it's only a standard cooker I'm afraid .
    MOT*MOT: not a super+duper luxury one , is it ?
    MOThmm ?
    MOThmm ?
  3. INVthank you .
    INVoh .
    INV*INV: I have a little one , do I ?
    MOTthank you .
    MOTwhat about some knives and forks ?
  4. CHIspoon .
    MOTspoon .
    MOT*MOT: and what's the other one I've got ?
    CHIxxx .
    MOTno .
  5. MOTyou can hurt somebody by throwing things like that .
    MOTwhy're we having everything thrown .
    MOT*MOT: out one room into the other ?
    MOThmm ?
    MOTpoor teddy .
  6. MOTthat's not very nice , is it ?
    MOToh hang on .
    MOT*MOT: I've got another one here , look .
    MOTI'll use this one .
    CHIoh no .
  7. MOToh hang on .
    MOTI've got another one here , look .
    MOT*MOT: I'll use this one .
    CHIoh no .
    MOTyou selfish little madam .

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. Nicole eng_british_Manchester_II2.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic17a.chaNicole 2;6.162,390772.93

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. one7 · 100.0%