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Multilingual Date Field Extraction for Automatic Document Retrieval by Machine Ranju Mandala , Partha Pratim Royb , Umapada Palc , Michael Blumensteina a Schoolof Information and Communication Technology, Grith University, Queensland, Australia b Dept. of Computer Science & Engineering, Indian Institute of Technology, Roorkee, India c Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, IndiaAbstract Robotic intelligence has recently received signicant...
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How to fill out multi-lingual date field extraction

01
Identify the parts of the date in the source language (day, month, year).
02
Translate each part of the date into the target language, considering local formats.
03
Use the appropriate separators (e.g., slashes, dashes, or spaces) as per the target language conventions.
04
Ensure that any numerical values are correctly localized (e.g., 1st to 1, 2nd to 2).
05
Check for any special rules in the target language, such as the order of day and month.
06
Validate the filled date format in the target language against standard date formats.

Who needs multi-lingual date field extraction?

01
Organizations operating in multi-lingual regions.
02
Developers creating applications with international users.
03
Businesses managing data from diverse geographical locations.
04
Researchers conducting studies involving participants from different cultures.
05
Data analysts who require accurate date reporting across languages.
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Multi-lingual date field extraction refers to the process of identifying and extracting date information from texts that are written in multiple languages. This involves recognizing various date formats and local customs related to date representation.
Individuals or organizations that handle documents or datasets containing date information in multiple languages may be required to file for multi-lingual date field extraction. This could include multi-national corporations, research institutions, and government agencies.
To fill out a multi-lingual date field extraction, one should first identify all date instances within the text, determine the correct format for each date according to the language used, and then accurately record this information in a structured format.
The purpose of multi-lingual date field extraction is to ensure accurate and efficient processing of date information from diverse language sources, which is essential for data analysis, record keeping, and compliance with legal requirements.
The information that must be reported includes the extracted date values, their corresponding formats, the original source text from which they were extracted, and any relevant language or regional context that affects date interpretation.
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