PHPCLANCHILDES with regular expressions

Regular expression

Press Enter to search, Shift+Enter for a new line.

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

6 matches in 6 utterances

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

Concordance Utterances Distribution Matched forms

what happened ? MOT · eng_USA_Bloom/allison2.cha, line 367 · Allison 1;07
what happened ? MOT · eng_USA_Bloom/allison2.cha, line 413 · Allison 1;07
what happened to the juice ? MOT · eng_USA_Bloom/allison2.cha, line 1324 · Allison 1;07
what happened ? MOT · eng_USA_Bloom/allison2.cha, line 1374 · Allison 1;07
what happened <to the cookie> [>] ? MOT · eng_USA_Bloom/allison2.cha, line 1376 · Allison 1;07
<what happened to it> [>] ? MOT · eng_USA_Bloom/allison2.cha, line 1378 · 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

012345

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	6	6	4.21

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