Translation

A machine translation (MT) or a translation memory (TM) match of a source segment.

Properties

Name	Type	Description	Notes
target	str	The target string.	[optional]
target_with_tags	str	The target string with source tags projected into the target.	[optional]
align	str	\"MT only: A whitespace delimited list of source-target alignment indices.\"	[optional]
provenance	str	Positive values indicate that the word is from the Memory, with contiguous identical entries (e.g., 2 2) indicating phrase matches. Negative contiguous values indicate entries from the Lexicon. 0 indicates a word from the background data.	[optional]
score	float	The score of the translation.	[optional]
is_tm_match	bool	TM only: If true, indicates an exact translation memory match.	[optional]
target_delimiters	List[str]	A format string that indicates, for each word, if the word should be preceded by a space.	[optional]
target_words	List[str]	The target string can be constructed by suffixing each `targetDelimiters` entry with its corresponding word in `targetWords` and concatenating the constructed array. Please note that the `targetDelimiters` array has one more entry than `targetWords` array which is why the last entry in the array will be the last value of `targetDelimiters`.	[optional]

Example

from lilt.models.translation import Translation

# TODO update the JSON string below
json = "{}"
# create an instance of Translation from a JSON string
translation_instance = Translation.from_json(json)
# print the JSON string representation of the object
print(Translation.to_json())

# convert the object into a dict
translation_dict = translation_instance.to_dict()
# create an instance of Translation from a dict
translation_from_dict = Translation.from_dict(translation_dict)

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