PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (595 utterances, 2,317 words searched).

  1. is he coming ? MOT · eng_british_Manchester_I/anne08a.cha, line 119 · Anne 2;00
  2. is he coming in the fire+engine ? MOT · eng_british_Manchester_I/anne08a.cha, line 121 · Anne 2;00
  3. are they coming ? MOT · eng_british_Manchester_I/anne08a.cha, line 742 · Anne 2;00
  4. are you coming to get me ? MOT · eng_british_Manchester_I/anne08a.cha, line 801 · Anne 2;00
  5. he's coming to kiss your nose . MOT · eng_british_Manchester_I/anne08a.cha, line 1401 · Anne 2;00
  6. he's coming to kiss your nose . MOT · eng_british_Manchester_I/anne08a.cha, line 1418 · Anne 2;00
  1. eng_british_Manchester_I/anne08a.cha, line 119 · Anne, 2;0.17
    MOTAnne's pussy cat .
    MOTgo on then .
    MOT*MOT: is he coming ?
    MOTis he coming in the fire+engine ?
    CHIno fit .
  2. eng_british_Manchester_I/anne08a.cha, line 121 · Anne, 2;0.17
    MOTgo on then .
    MOTis he coming ?
    MOT*MOT: is he coming in the fire+engine ?
    CHIno fit .
    MOThe willn't fit ?
  3. eng_british_Manchester_I/anne08a.cha, line 742 · Anne, 2;0.17
    MOTtwo .
    CHItwo .
    MOT*MOT: are they coming ?
    CHIxxx two three .
    MOThave they got room ?
  4. eng_british_Manchester_I/anne08a.cha, line 801 · Anne, 2;0.17
    MOTaah .
    CHIcome and get you .
    MOT*MOT: are you coming to get me ?
    MOTare you going get my toes ?
    MOTyou got my toes ?
  5. eng_british_Manchester_I/anne08a.cha, line 1401 · Anne, 2;0.17
    MOThe likes those .
    MOTxxx .
    MOT*MOT: he's coming to kiss your nose .
    MOT<can we come >[/] can we come and kiss your nose ?
    MOTis this Soppy_socks ?
  6. eng_british_Manchester_I/anne08a.cha, line 1418 · Anne, 2;0.17
    MOTSoppy_socks is down there ,, is he ?
    MOTaah .
    MOT*MOT: he's coming to kiss your nose .
    MOTaah .
    CHIhello .

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_I2.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne08a.chaAnne 2;0.172,317662.59

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. coming6 · 100.0%