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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Speakers

Context

Ignore case Whole words

Scope One transcript: eng_USA_Bloom/allison2.cha change

Searching only eng_USA_Bloom/allison2.cha. Search all transcripts instead

7 matches in 7 utterances

4.91 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (433 utterances, 1,425 words searched).

Concordance Utterances Distribution Matched forms

can you open it ? MOT · eng_USA_Bloom/allison2.cha, line 78 · Allison 1;07
can you open it ? MOT · eng_USA_Bloom/allison2.cha, line 80 · Allison 1;07
we can try again . MOT · eng_USA_Bloom/allison2.cha, line 393 · Allison 1;07
can Mommy help ? MOT · eng_USA_Bloom/allison2.cha, line 733 · Allison 1;07
can I tie your shoe ? MOT · eng_USA_Bloom/allison2.cha, line 1402 · Allison 1;07
can you splash ? MOT · eng_USA_Bloom/allison2.cha, line 1795 · Allison 1;07
can you splash ? MOT · eng_USA_Bloom/allison2.cha, line 1797 · Allison 1;07

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

per 1,000 words

0246

1;061;071;081;09

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/allison2.cha	Allison	1;7.14	1,425	7	7	4.91

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