Memory

A Memory is a collection of parallel (source/target) segments from which a MT/TM model is trained. When a translator confirms a segment in the Interface, a parallel segment is added to the Memory. Parallel segments from existing translation memories and bitexts can also be added to the Memory via the REST API.

Properties

Name	Type	Description	Notes
id	int	A unique number identifying the Memory.	[optional]
srclang	str	An ISO 639-1 language identifier.	[optional]
trglang	str	An ISO 639-1 language identifier.	[optional]
srclocale	str	An ISO 639-1 language identifier.	[optional]
trglocale	str	An ISO 639-1 language identifier.	[optional]
name	str	A name for the Memory.	[optional]
is_processing	bool	Indicates the memory is being processed.	[optional]
version	int	The current version of the Memory, which is the number of updates since the memory was created.	[optional]
created_at	int	Time at which the object was created. Measured in seconds since the Unix epoch.	[optional]
updated_at	int	Time at which the object was created. Measured in seconds since the Unix epoch.	[optional]
resources	List[str]	The resource files (translation memories and termbases) associated with this Memory.	[optional]

Example

from lilt.models.memory import Memory

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

# convert the object into a dict
memory_dict = memory_instance.to_dict()
# create an instance of Memory from a dict
memory_from_dict = Memory.from_dict(memory_dict)

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