PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

…and must not match

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Context

Ignore case Whole words

Scope One transcript: eng_USA_Bloom/allison4.cha change

Searching only eng_USA_Bloom/allison4.cha. Search all transcripts instead

6 matches in 6 utterances

3.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (424 utterances, 1,613 words searched).

Concordance Utterances Distribution Matched forms

horse . MOT · eng_USA_Bloom/allison4.cha, line 762 · Allison 1;10
giddyup horse . MOT · eng_USA_Bloom/allison4.cha, line 780 · Allison 1;10
giddyup horse . MOT · eng_USA_Bloom/allison4.cha, line 782 · Allison 1;10
horse tumble . MOT · eng_USA_Bloom/allison4.cha, line 1059 · Allison 1;10
yes, the horse fell down . MOT · eng_USA_Bloom/allison4.cha, line 1061 · Allison 1;10
does a horse say moo ? MOT · eng_USA_Bloom/allison4.cha, line 1074 · Allison 1;10

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

per 1,000 words

01234

1;091;101;11

Age of the child (years;months)

Matches per 1,000 words, all transcripts of each child together, highest first.

All transcripts as a table

Transcript	Child	Age	Words	Utterances matched	Matches	Per 1,000 words
eng_USA_Bloom/allison4.cha	Allison	1;10.	1,613	6	6	3.72

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.