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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 |
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REMARKS
The different count fields need to sum up correctly and the method automatically corrects any inconsistencies:
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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 Block |
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[{
"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
}] |
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