PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

5.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 712 words searched).

  1. miinmiin te yuu no [>] ? %mov:"20029"_189133_190983 FAT · japanese_ishii/20029.cha, line 113 · Jun 2;00
  2. un, piipiipii@o tte bakkusuru toki nan nya nee pipii te . %mov:"20029"_795230_795230 FAT · japanese_ishii/20029.cha, line 471 · Jun 2;00
  3. un, bakkubakkuu no toki ni piipii@o te naru nee ? %mov:"20029"_800547_803712 FAT · japanese_ishii/20029.cha, line 473 · Jun 2;00
  4. dore,, hassha te . %mov:"20029"_823066_824477 FAT · japanese_ishii/20029.cha, line 488 · Jun 2;00
  1. japanese_ishii/20029.cha, line 113 · Jun, 2;0.29
    FATe [>] ? %mov:"20029"_187799_189133
    CHIaa aa [<] . %mov:"20029"_187799_189133
    FAT*FAT: miinmiin te yuu no [>] ? %mov:"20029"_189133_190983
    CHImiinmiin [<] . %mov:"20029"_189133_190983
    CHImiinmiin ya . %mov:"20029"_190983_192221
  2. japanese_ishii/20029.cha, line 471 · Jun, 2;0.29
    FATpiipii@o ka ? %mov:"20029"_792731_793528
    CHIpipii ya . %mov:"20029"_793528_795230
    FAT*FAT: un, piipiipii@o tte bakkusuru toki nan nya nee pipii te . %mov:"20029"_795230_795230
    CHIbakku ? %mov:"20029"_799011_800547
    FATun, bakkubakkuu no toki ni piipii@o te naru nee ? %mov:"20029"_800547_803712
  3. japanese_ishii/20029.cha, line 473 · Jun, 2;0.29
    FATun, piipiipii@o tte bakkusuru toki nan nya nee pipii te . %mov:"20029"_795230_795230
    CHIbakku ? %mov:"20029"_799011_800547
    FAT*FAT: un, bakkubakkuu no toki ni piipii@o te naru nee ? %mov:"20029"_800547_803712
    CHIbiibiibii xxx [>] . %mov:"20029"_803712_806238
    FATsoosoosoosoo [<] . %mov:"20029"_803712_806238
  4. japanese_ishii/20029.cha, line 488 · Jun, 2;0.29
    FAThassha ? %mov:"20029"_819574_820851
    CHIassha nai wa . %mov:"20029"_820851_823066
    FAT*FAT: dore,, hassha te . %mov:"20029"_823066_824477
    CHIarye ya . %mov:"20029"_824477_825487
    CHIasshaashi buwaa buwaai yo ! %mov:"20029"_825487_830272

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. Jun japanese_ishii5.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20029.chaJun 2;0.29712445.62

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. te4 · 100.0%