PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (698 utterances, 1,957 words searched).

  1. Feraari ya . %mov:"30816"_835373_838511 FAT · japanese_ishii/30816.cha, line 460 · Jun 3;08
  2. Feraari tte kaitaaru xxx [>] . %mov:"30816"_839890_842254 FAT · japanese_ishii/30816.cha, line 462 · Jun 3;08
  3. suupaakaa ya kedomo Feraari tte yuu namae da . %mov:"30816"_843352_846252 FAT · japanese_ishii/30816.cha, line 466 · Jun 3;08
  4. kore mo Feraari . %mov:"30816"_854069_859484 FAT · japanese_ishii/30816.cha, line 474 · Jun 3;08
  5. Feraari xxx . %mov:"30816"_859484_860668 FAT · japanese_ishii/30816.cha, line 475 · Jun 3;08
  1. CHIdenki . %mov:"30816"_832100_832991
    FATkore nanchuu [: nan to yuu] jidoosha yattak ke . %mov:"30816"_832991_835373
    FAT*FAT: Feraari ya . %mov:"30816"_835373_838511
    CHIchau de . %mov:"30816"_838511_839890
    FATFeraari tte kaitaaru xxx [>] . %mov:"30816"_839890_842254
  2. FATFeraari ya . %mov:"30816"_835373_838511
    CHIchau de . %mov:"30816"_838511_839890
    FAT*FAT: Feraari tte kaitaaru xxx [>] . %mov:"30816"_839890_842254
    CHIsuupaakaa ya de [<] . %mov:"30816"_839890_842254
    CHIFeraari [<] +... %mov:"30816"_842254_843352
  3. CHIFeraari [<] +... %mov:"30816"_842254_843352
    FATsuupaa [<] +... %mov:"30816"_842254_843352
    FAT*FAT: suupaakaa ya kedomo Feraari tte yuu namae da . %mov:"30816"_843352_846252
    CHIchau [: chigau] no . %mov:"30816"_846252_847342
    FATchau no ? %mov:"30816"_847342_848099
  4. CHIkore to onnaji ya zo [>] . %mov:"30816"_852819_854737
    FATkore wa [<] ? %mov:"30816"_852819_854737
    FAT*FAT: kore mo Feraari . %mov:"30816"_854069_859484
    FATFeraari xxx . %mov:"30816"_859484_860668
    CHIissho yaro . %mov:"30816"_860668_862783
  5. FATkore wa [<] ? %mov:"30816"_852819_854737
    FATkore mo Feraari . %mov:"30816"_854069_859484
    FAT*FAT: Feraari xxx . %mov:"30816"_859484_860668
    CHIissho yaro . %mov:"30816"_860668_862783
    CHIdoo da . %mov:"30816"_862783_865338

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_ishii2.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30816.chaJun 3;8.161,957552.55

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. feraari5 · 100.0%