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_Valian/01a.cha change

Searching only eng_USA_Valian/01a.cha. Search all transcripts instead

7 matches in 6 utterances

2.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (654 utterances, 3,015 words searched).

Concordance Utterances Distribution Matched forms

socks . MOT · eng_USA_Valian/01a.cha, line 1059 · 01A 2;01
do you have any socks on ? MOT · eng_USA_Valian/01a.cha, line 1061 · 01A 2;01
show Investigator your socks ? MOT · eng_USA_Valian/01a.cha, line 1065 · 01A 2;01
blue socks . INV · eng_USA_Valian/01a.cha, line 1067 · 01A 2;01
oh, blue socks . MOT · eng_USA_Valian/01a.cha, line 1069 · 01A 2;01
which are these, old socks or new socks ? MOT · eng_USA_Valian/01a.cha, line 1077 · 01A 2;01
which are these, old socks or new socks ? MOT · eng_USA_Valian/01a.cha, line 1077 · 01A 2;01

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

per 1,000 words

0.00.51.01.52.02.5

2;002;012;022;03

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_Valian/01a.cha	01A	2;1.03	3,015	6	7	2.32

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