PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (648 utterances, 1,687 words searched).

  1. un, akai sen haitteru wa . %mov:"30126"_1966426_1967847 FAT · japanese_ishii/30126.cha, line 904 · Jun 3;01
  2. un [<] shiroi sen haitteru .%mov:"30126"_1974095_1975349 FAT · japanese_ishii/30126.cha, line 909 · Jun 3;01
  3. Nishitetsu mo sen haitteru,, akai sen ga . %mov:"30126"_1995092_1998861 FAT · japanese_ishii/30126.cha, line 923 · Jun 3;01
  4. Seebu mo akai sen haitteru . %mov:"30126"_1999944_2003467 FAT · japanese_ishii/30126.cha, line 925 · Jun 3;01
  1. CHIKeeoo . %mov:"30126"_1960082_1961201
    CHInaka ni # kore si # akai no ga # se [//] sen haitteru yaro ? %mov:"30126"_1961201_1966426
    FAT*FAT: un, akai sen haitteru wa . %mov:"30126"_1966426_1967847
    CHIkore wa akai sen haitteru yaro ? %mov:"30126"_1967847_1970851
    FATsoo ya . %mov:"30126"_1970851_1971360
  2. CHIshiroi sen haitteru yaro . %mov:"30126"_1971360_1974095
    CHInaa [>] . %mov:"30126"_1974095_1975349
    FAT*FAT: un [<] shiroi sen haitteru .%mov:"30126"_1974095_1975349
    FATyoo shitten na [>] . %mov:"30126"_1975349_1978132
    CHIkore wa haitten naa [<] . %mov:"30126"_1975349_1978132
  3. CHIToobu no [<] Toobu no aka ga # shen # shen # shen [: sen] ga tsuiteru yaro ? %mov:"30126"_1985388_1994078
    FATun, sen ga haitten naa . %mov:"30126"_1994078_1995092
    FAT*FAT: Nishitetsu mo sen haitteru,, akai sen ga . %mov:"30126"_1995092_1998861
    FATnaa ? %mov:"30126"_1998861_1999944
    FATSeebu mo akai sen haitteru . %mov:"30126"_1999944_2003467
  4. FATNishitetsu mo sen haitteru,, akai sen ga . %mov:"30126"_1995092_1998861
    FATnaa ? %mov:"30126"_1998861_1999944
    FAT*FAT: Seebu mo akai sen haitteru . %mov:"30126"_1999944_2003467
    CHIkore mo se # kore Seebu mo # aka # haitteru . %mov:"30126"_2003467_2010231
    FATun . %mov:"30126"_2010231_2010730

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_ishii2.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30126.chaJun 3;1.261,687442.37

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. haitteru4 · 100.0%