Word Count Record

Word counts may be returned with extensive details. For example by these methods:

jobs/{id}/cost

PROPERTIES

The payload properties are:

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 `[ { "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:

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.	decimal
pretransIdentical	Total pretranslated units, whether pretranslations are 100%, 110% or MT.	decimal
pretransIdenticalCtx	Among pretransIdentical, the 110% pretranslated units. Also called perfect or in-context match.	decimal
pretransIdenticalPrevCtx	Among pretransIdentical, the 110% pretranslated units, leveraged from the previous document version.	decimal
pretransIdenticalPrev	Among pretransIdentical, the 100% pretranslated units, leveraged from the previous document version.	decimal
pretransIdenticalMT	Among pretransIdentical, the machine translated units	decimal
pretransFuzzy	<100% pretranslated units	decimal

pretrans110	Total of 110% pretranslations. Equals sum of pretransIdenticalCtx + pretransIdenticalPrevCtx	decimal
pretrans100	Total of 100% pretranslations. Equals pretransIdentical - pretransIdenticalCtx - pretransIdenticalPrevCtx	decimal

match1	Total units falling into interval #1. The intervals (minimum % to maximum %) are configured in the project word count profile.	decimal
match2	Total units falling into interval #2.	decimal
match3	Total units falling into interval #3.	decimal
match4	Total units falling into interval #4.	decimal
match5	Total units falling into interval #5.	decimal
noMatch	Total untranslated units which do not fall into any of the fuzzy intervals above.	decimal

EXAMPLES

A typical payload may look like:

CODE

{
    "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": 2.0,
        "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,
        "match5": 0,
        "noMatch": 2.0
    },
    "chars": {
        "isNullCounts": false,
        "total": 5.0,
        "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,
        "match5": 0,
        "noMatch": 5.0
    },
    "intervals": [
        {
            "min": 110,
            "max": 110
        },
        {
            "min": 100,
            "max": 109
        },
        {
            "min": 75,
            "max": 99
        }
    ]
}