projects/{pid}/wordcounts/{did}/{trg} (PUT)

Update word counts of a document for a specific target language.

Please note that this method requires that word count details already exist for the document and the target language.

URL

(PUT) /api/projects/{pid}/wordcounts/{did}/{tloc}

PARAMETERS

The URL parameters are:

pid	The project id	int, Required
did	If set, returns word counts for this specific document only. Identifies document by its document id.	int, Required
trg	The target locale for which to update a word count. The locale must be a valid locale in the project.	string, Required

The body is a JSON object with these properties. All properties are optional. This gives you the freedom to make granular changes.

	Global counts
words	Total words.	int?, Optional
chars	Total characters	int?, Optional
pages	Total pages	decimal?, Optional
minutes	Total minutes to work or worked	int?, Optional
wordsExcluded	Total words not included in this word count. For information purposes.	int?, Optional
charsTranslated	Total characters of translated content	int?, Optional
wordsTranslated	Total words of translated content	int?, Optional

	Pretranslated words
wdPretransIdentical	Total pretranslated words, whether pretranslations are 100%, 110% or MT.	int?, Optional
wdPretransIdenticalCtx	Among wdPretransIdentical, the 110% pretranslated words. Also called perfect or in-context match.	int?, Optional
wdPretransIdenticalPrevCtx	Among wdPretransIdentical, the 110% pretranslated words, leveraged from the previous document version.	int?, Optional
wdPretransIdenticalPrev	Among wdPretransIdentical, the 100% pretranslated words, leveraged from the previous document version.	int?, Optional
wdPretransIdenticalMT	Among wdPretransIdentical, the machine translated words	int?, Optional
wdPretransFuzzy	<100% pretranslated words

	Fuzzy matches (not used for pre-translation) and repetitions
wdMatch1	Total words falling into interval #1. The intervals (minimum % to maximum %) are configured in the project word count profile.	int?, Optional
wdMatch2	Total words falling into interval #2.	int?, Optional
wdMatch3	Total words falling into interval #3.	int?, Optional
wdMatch4	Total words falling into interval #4.	int?, Optional
wdMatch5	Total words falling into interval #5.	int?, Optional

	Advanced. These properties are for information only. You are not required to populate these in word counts.
tags	Total amount of markup	int?, Optional
spaces	Total count of whitespace characters	int?, Optional
punctuation	Total punctuation characters	int?, Optional
nonAsianWords	Total non-Asian words	int?, Optional
asianCharacters	Total Asian characters (Japanese, Chinese, Korean signs)	int?, Optional

REMARKS

The different count fields need to sum up correctly and the method automatically corrects any inconsistencies:

total will be increased if it is smaller than the sum of wdPretransIdentical + wdPretransFuzzy + wdMatch1 ... + wdMatch5
wdPretransIdentical will be increased if smaller than sum of: wdPretransIdenticalCtx + wdPretransIdenticalPrevCtx + wdPretransIdenticalPrev + wdPretransIdenticalMT
wdMatchnn will be cleared if the specific interval is not configured in the project's word count profile.

There may be other inconsistencies that will be auto-corrected.

RESULTS

Returns a JSON object with the word count details for the document and language.

CODE

[{
    "wcid": 14,
    "did": 14,
    "locs": "en",
    "loct": "fr",
    "dt": "2016-07-04T16:05:20.86",
    "words": 255,
    "chars": 1500,
    "pages": null,
    "minutes": null,
    "wordsExcluded": 0,
    "charsTranslated": null,
    "wordsTranslated": null,
    "wdPretransIdentical": 0,
    "wdPretransIdenticalCtx": 0,
    "wdPretransIdenticalPrevCtx": 0,
    "wdPretransIdenticalPrev": 0,
    "wdPretransIdenticalMT": 0,
    "wdPretransFuzzy": 0,
    "wd110": 0,
    "wd100": 0,
    "wdMatch1": 0,
    "wdMatch2": 0,
    "wdMatch3": 0,
    "wdMatch4": 0,
    "wdMatch5": 0,
    "tags": 0,
    "spaces": 155,
    "punctuation": 59,
    "nonAsianWords": 255,
    "asianCharacters": 0
}]