PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (474 utterances, 1,525 words searched).

  1. there's a puzzle there . INV · eng_british_Manchester_II/joel29a.cha, line 284 · Joel 2;08
  2. there's a fire +//. MOT · eng_british_Manchester_II/joel29a.cha, line 319 · Joel 2;08
  3. there's a fire at the supermarket . MOT · eng_british_Manchester_II/joel29a.cha, line 415 · Joel 2;08
  4. there's lots of xxx , is there ? INV · eng_british_Manchester_II/joel29a.cha, line 898 · Joel 2;08
  5. there's one . MOT · eng_british_Manchester_II/joel29a.cha, line 1107 · Joel 2;08
  6. there's Bruce_thingimijig . MOT · eng_british_Manchester_II/joel29a.cha, line 1515 · Joel 2;08
  7. there's Tuscan_raider . MOT · eng_british_Manchester_II/joel29a.cha, line 1525 · Joel 2;08
  8. there's Admiral_Akbar . MOT · eng_british_Manchester_II/joel29a.cha, line 1662 · Joel 2;08
  1. CHIoh .
    CHIout .
    INV*INV: there's a puzzle there .
    CHIoh .
    CHIyes .
  2. CHIxxx my cars .
    MOToh .
    MOT*MOT: there's a fire +//.
    MOTcan see a fire+engine on top of Mickey .
    CHIhe's good .
  3. MOTbye .
    MOTquick .
    MOT*MOT: there's a fire at the supermarket .
    MOTquick .
    MOTnenaw@o .
  4. CHIlots of xxx .
    CHIcome here .
    INV*INV: there's lots of xxx , is there ?
    MOTAdmiral_Akbar's looking a bit tatty .
    MOTwww .
  5. MOTxxx .
    MOThere we are , look .
    MOT*MOT: there's one .
    CHIthere's one .
    MOToh .
  6. MOTwhat did you do +//.
    MOTyou had him down here a minute ago .
    MOT*MOT: there's Bruce_thingimijig .
    MOTSpiderman .
    MOTdinosaur .
  7. MOTPingu .
    MOTNoddy .
    MOT*MOT: there's Tuscan_raider .
    CHIbecause he's too big .
    CHIthey're all too big .
  8. MOTwhere's Tuscan_Raider and [/] and um Admiral_Akbar and everybody ?
    MOToh look .
    MOT*MOT: there's Admiral_Akbar .
    CHIhere he is .
    CHII found him , look .

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. Joel eng_british_Manchester_II5.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel29a.chaJoel 2;8.231,525885.25

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. there's8 · 100.0%