Page Comparison

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date

The date when the counts were assigned.

datetime

general

General word count details. This is the information that you would see in the typical Wordbee Translator word count pages. See below for more details.

object

words

Counts in terms of words. This includes all the counts from general that strictly refer to words.

object

chars

Counts in terms of chars. This is the extrapolation of counts in terms of characters. Basically, we take all the numbers from words multiplied with the total characters and divided by the total words.

object

intervals

An array with the lower and upper limits of the fuzzy intervals to apply. Example when a word count profile defines 2 intervals:

Code Block
[ { "min": 110, "max": 110 }, { "min": 100, "max": 95 } ]

object[]

General

The general object has these properties:

total	Total number	int
chars	Total characters	int
pages	Total pages. Null if not supplied.	int?
minutes	Total minutes. Null if not supplied.	int?
wordsExcluded	Words excluded from the counts.	int
charsTranslated	Total translated characters. Null if not calculated.	int?
wordsTranslated	Total translated words. Null if not calculated.	int?

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

wd110	Total of 110% pretranslations. Equals sum of wdPretransIdenticalCtx + wdPretransIdenticalPrevCtx	int
wd100	Total of 100% pretranslations. Equals wdPretransIdentical - wdPretransIdenticalCtx - wdPretransIdenticalPrevCtx	int

	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
wdMatch2	Total words falling into interval #2.	int
wdMatch3	Total words falling into interval #3.	int
wdMatch4	Total words falling into interval #4.	int
wdMatch5	Total words falling into interval #5.	int

	Advanced
tags	Total amount of markup	int
spaces	Total count of whitespace characters	int
punctuation	Total punctuation characters	int
nonAsianWords	Total non-Asian words	int
asianCharacters	Total Asian characters (Japanese, Chinese, Korean signs)	int

Words & Chars

The words and chars objects contain the counts in terms of words and characters, respectively:

segments	Total segments	int
words	Total words	int
chars	Total characters	int
pages	Total pages. Null if not supplied.	int?
minutes	Total minutes. Null if not supplied.	int?
wordsExcluded	Words isNullCounts	True: The counts are not available. (This is the case for chars when the word count does not indicate the total characters and the counts can thus not be extrapolated to characters)	bool
total	Total units	decimal
excluded	Units excluded from the counts.	int
charsTranslated	Total translated characters. Null if not calculated.	int?
wordsTranslated	Total translated words. Null if not calculated.	int?
Pretranslated words	wdPretransIdenticaldecimal
pretransIdentical	Total pretranslated wordsunits, whether pretranslations are 100%, 110% or MT.	intdecimal
wdPretransIdenticalCtxpretransIdenticalCtx	Among wdPretransIdentical pretransIdentical, the 110% pretranslated wordsunits. Also called perfect or in-context match.	intdecimal
wdPretransIdenticalPrevCtxpretransIdenticalPrevCtx	Among wdPretransIdentical pretransIdentical, the 110% pretranslated wordsunits, leveraged from the previous document version.	intdecimal
wdPretransIdenticalPrevpretransIdenticalPrev	Among wdPretransIdentical pretransIdentical, the 100% pretranslated wordsunits, leveraged from the previous document version.	intdecimal
wdPretransIdenticalMTpretransIdenticalMT	Among wdPretransIdentical pretransIdentical, the machine translated wordsunits	intdecimal
wdPretransFuzzypretransFuzzy	<100% pretranslated wordsunits	intdecimal

wd110pretrans110	Total of 110% pretranslations. Equals sum of wdPretransIdenticalCtx pretransIdenticalCtx + wdPretransIdenticalPrevCtx pretransIdenticalPrevCtx	intdecimal
wd100pretrans100	Total of 100% pretranslations. Equals wdPretransIdentical pretransIdentical - wdPretransIdenticalCtx pretransIdenticalCtx - wdPretransIdenticalPrevCtx pretransIdenticalPrevCtx	int	Fuzzy matches (not used for pre-translation) and repetitions	wdMatch1	Total words decimal

match1	Total units falling into interval #1. The intervals (minimum % to maximum %) are configured in the project word count profile.	intdecimal
wdMatch2match2	Total words units falling into interval #2.	intdecimal
wdMatch3match3	Total words units falling into interval #3.	intdecimal
wdMatch4match4	Total words units falling into interval #4.	intdecimal
wdMatch5match5	Total words units falling into interval #5.	intdecimal
AdvancednoMatch
tags	Total amount of markup	int
spaces	Total count of whitespace characters	int
punctuation	Total punctuation characters	int
nonAsianWords	Total non-Asian words	int
asianCharacters	Total Asian characters (Japanese, Chinese, Korean signs)	int

EXAMPLES

To clarify how reductions, fees and coverage are applied on the base cost, see this screenshot and the corresponding payload below:

...

Total untranslated units which do not fall into any of the fuzzy intervals above.

decimal

EXAMPLES

A typical payload may look like:

Code Block

{
    "date": "2023-12-19T12:44:28.28Z",
    "general": {
        "segments": 1,
        "words": 2,
        "chars": 5,
        "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": 1,
        "punctuation": 0,
        "nonAsianWords": 0,
        "asianCharacters": 0
    },
    "words": {
        "isNullCounts": false,
        "total": 495.002.0,
        "excluded": 0,
        "pretransIdentical": 0,
        "pretransIdenticalCtx": 0,
        "pretransIdenticalPrevCtx": 0,
        "pretransIdenticalPrev": 0,
        "pretransIdenticalMT": 0,
        "pretransIdenticalOther": 0,
        "pretrans110": 0,
        "pretrans100": 0,
        "pretransFuzzy": 0,
        "match1": 0,
        "totalBasematch2": 1000.000,
        "reductionmatch3": {0,
        "amountmatch4": 100.000,
        "percentmatch5": 10.0,
        "subTotalnoMatch": 9002.000
    },
    "feechars": {
        "isNullCounts": false,
        "amounttotal": 90.005.0,
        "excluded": 0,
        "pretransIdentical": 0,
        "pretransIdenticalCtx": 0,
        "pretransIdenticalPrevCtx": 0,
        "pretransIdenticalPrev": 0,
        "pretransIdenticalMT": 0,
        "pretransIdenticalOther": 0,
        "pretrans110": 0,
        "pretrans100": 0,
        "pretransFuzzy": 0,
        "match1": 0,
        "match2": 0,
        "match3": 0,
        "match4": 0,
        "percentmatch5": 10.0,
        "subTotalnoMatch": 9905.000
    },
    "coveredintervals": [
        {
            "percentmin": 50.0,110,
            "subTotalmax": 495.00110
        },
        {
       "currency": "USD",     "min": 100,
            "max": 109
        },
        {
            "min": 75,
            "decimalsmax": 2 99
        }
    ]
}

Versions Compared

Old Version 1

New Version Current

Key

General

Words & Chars

EXAMPLES

EXAMPLES