PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.84 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (623 utterances, 2,083 words searched).

  1. got no eyes . MOT · eng_british_Manchester_II/joel22a.cha, line 1079 · Joel 2;06
  2. you've got no eyes . MOT · eng_british_Manchester_II/joel22a.cha, line 1306 · Joel 2;06
  3. those are his eyes . INV · eng_british_Manchester_II/joel22a.cha, line 1318 · Joel 2;06
  4. little holes for eyes . INV · eng_british_Manchester_II/joel22a.cha, line 1320 · Joel 2;06
  5. are they eyes ? MOT · eng_british_Manchester_II/joel22a.cha, line 1461 · Joel 2;06
  6. eyes or teeth ? INV · eng_british_Manchester_II/joel22a.cha, line 1481 · Joel 2;06
  7. eyes or teeth ? MOT · eng_british_Manchester_II/joel22a.cha, line 1485 · Joel 2;06
  8. I think if you took his lips and his teeth eyes and his nose you could make a new face because they're all rather big… MOT · eng_british_Manchester_II/joel22a.cha, line 1681 · Joel 2;06
  1. MOTwhat's that one ?
    MOToh .
    MOT*MOT: got no eyes .
    MOTgot no nose .
    MOTgot no mouth .
  2. MOTwhat've you been doing today ?
    CHII xxx .
    MOT*MOT: you've got no eyes .
    CHII've got +/.
    INVyes .
  3. INVlook .
    INVthere .
    INV*INV: those are his eyes .
    INVlittle holes for eyes .
    MOThe [/] he hasn't got any eyeballs .
  4. INVthere .
    INVthose are his eyes .
    INV*INV: little holes for eyes .
    MOThe [/] he hasn't got any eyeballs .
    CHIxxx .
  5. CHIgot some eyes , look .
    MOTyeah .
    MOT*MOT: are they eyes ?
    CHIyeah .
    MOTlook like teeth .
  6. CHIyeah .
    INVwhat are they ?
    INV*INV: eyes or teeth ?
    MOTwhat do you want them to be ?
    MOTeyes or teeth ?
  7. INVeyes or teeth ?
    MOTwhat do you want them to be ?
    MOT*MOT: eyes or teeth ?
    CHIteeth .
    MOTteeth .
  8. MOTgot strawberry lips .
    CHIhe's going there .
    MOT*MOT: I think if you took his lips and his teeth eyes and his nose you could make a new face because they're all rather big , aren't they ?
    MOThmm ?
    MOTxxx .

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_II3.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel22a.chaJoel 2;6.122,083883.84

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. eyes8 · 100.0%