PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (612 utterances, 2,639 words searched).

  1. yes # there's another rattle in the toy box . MOT · eng_USA_Brown/eve14.cha, line 1742 · Eve 2;00
  2. would you put another piece in the waste basket ? MOT · eng_USA_Brown/eve14.cha, line 2172 · Eve 2;00
  3. shall we make another flower ? RIC · eng_USA_Brown/eve14.cha, line 2511 · Eve 2;00
  4. if we make another window # how many will we have ? RIC · eng_USA_Brown/eve14.cha, line 2984 · Eve 2;00
  5. so this is a house # and we have another small house . RIC · eng_USA_Brown/eve14.cha, line 3030 · Eve 2;00
  6. Eve # if you had another suitcase what would you have ? COL · eng_USA_Brown/eve14.cha, line 3072 · Eve 2;00
  7. okay # we'll make another horse . RIC · eng_USA_Brown/eve14.cha, line 3247 · Eve 2;00
  1. COLI think it rattles # doesn't it ?
    CHIand a rattle in the toy box .
    MOT*MOT: yes # there's another rattle in the toy box .
    CHIhuh ?
    MOTthere's one in the toy box .
  2. CHIxxx we all through with it .
    CHIwe all through .
    MOT*MOT: would you put another piece in the waste basket ?
    CHIanother piece # in xxx wastebasket .
    CHIanother one .
  3. CHII go get another one .
    RICokay .
    RIC*RIC: shall we make another flower ?
    CHIuhhuh .
    RICalright .
  4. CHItwo house .
    CHItwo house right here .
    RIC*RIC: if we make another window # how many will we have ?
    CHItwo .
    RICtwo what ?
  5. RICprobably Papa .
    CHIPapa .
    RIC*RIC: so this is a house # and we have another small house .
    RICso we have two .
    CHIso we have one # <so we have one # so we have one> [/] .
  6. CHIthat a suitcase .
    COLoh # it's a suitcase .
    COL*COL: Eve # if you had another suitcase what would you have ?
    CHIBecky's .
    CHII making xxx .
  7. RICuhhuh .
    CHIyou <make um> [/] make another horse .
    RIC*RIC: okay # we'll make another horse .
    CHIwe make another horse .
    RICnow we have two .

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. Eve eng_USA_Brown2.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve14.chaEve 2;0.2,639772.65

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. another7 · 100.0%