PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

1.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (1,047 utterances, 2,853 words searched).

  1. sore torakku chau ka . %mov:"21006"_75900_77145 FAT · japanese_ishii/21006.cha, line 74 · Jun 2;10
  2. torakku wa nai ka ? %mov:"21006"_639377_640206 FAT · japanese_ishii/21006.cha, line 432 · Jun 2;10
  3. ookii torakku ya ne ? %mov:"21006"_908699_909853 FAT · japanese_ishii/21006.cha, line 598 · Jun 2;10
  4. gomi no torakku [<] ? %mov:"21006"_1133106_1134638 FAT · japanese_ishii/21006.cha, line 751 · Jun 2;10
  5. kore wa gomi no torakku ka . %mov:"21006"_1326073_1327385 FAT · japanese_ishii/21006.cha, line 888 · Jun 2;10
  1. CHIhondara [: sorenara] kore nani ? %mov:"21006"_73528_74876
    CHIna a. %mov:"21006"_74876_75900
    FAT*FAT: sore torakku chau ka . %mov:"21006"_75900_77145
    FATJiipu mitai naa ? %mov:"21006"_77145_78104
    FATchigau ka ? %mov:"21006"_78104_78794
  2. FATfuun . %mov:"21006"_637516_638659
    CHIhore . %mov:"21006"_638659_639377
    FAT*FAT: torakku wa nai ka ? %mov:"21006"_639377_640206
    CHIburyudoozaa [: burudoozaa] jaa@o to shiten ne [>] . %mov:"21006"_640206_644197
    FATun, burudoozaa ga notteru nee [<] . %mov:"21006"_640206_644197
  3. FATun . %mov:"21006"_906849_907283
    CHIookii naa,, kore . %mov:"21006"_907283_908699
    FAT*FAT: ookii torakku ya ne ? %mov:"21006"_908699_909853
    CHIchiisai torakku ya nee . %mov:"21006"_909853_912417
    FATun . %mov:"21006"_912417_912837
  4. FATgomibako no yatsu ? %mov:"21006"_1131666_1133106
    CHIiyuun@o [>] . %mov:"21006"_1133106_1134638
    FAT*FAT: gomi no torakku [<] ? %mov:"21006"_1133106_1134638
    CHIgoon@o . %mov:"21006"_1134638_1135534
    CHIxxx, nani ya,, kore . %mov:"21006"_1135534_1138291
  5. FATkore wa nan [>] +... %mov:"21006"_1324880_1326073
    CHIxxx [<] . %mov:"21006"_1324880_1326073
    FAT*FAT: kore wa gomi no torakku ka . %mov:"21006"_1326073_1327385
    CHIun . %mov:"21006"_1327385_1328614
    CHIkore wa ? %mov:"21006"_1328614_1328614

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_ishii1.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/21006.chaJun 2;10.062,853551.75

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. torakku5 · 100.0%