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IMAGEBASED BILINGUAL LEXICON INDUCTION LOW RESOURCE LANGUAGES Brendan Daniel Callahan THESISinRoboticsPresented to the Faculties of the University of Pennsylvania in Partial Fulfillment of the Requirements
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How to fill out image-based bilingual lexicon induction

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How to fill out image-based bilingual lexicon induction

01
Collect a dataset containing images in both languages you want to build a lexicon for
02
Annotate the images with corresponding words in both languages
03
Use a computer vision algorithm to extract visual features from the images
04
Utilize a cross-lingual embedding model to learn mappings between visual and textual features
05
Evaluate the accuracy of the induced lexicon through testing

Who needs image-based bilingual lexicon induction?

01
Researchers working in the field of computer vision and natural language processing
02
Developers of multilingual applications requiring accurate translation between languages
03
Language teachers looking to facilitate vocabulary learning through visual aids
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Image-based bilingual lexicon induction is a technique used to create bilingual vocabulary by leveraging images as a bridge between languages, enabling the identification and association of words in different languages based on visual context.
The entities or individuals involved in creating or utilizing bilingual lexicons that rely on image-based associations are required to file image-based bilingual lexicon induction, particularly those in fields like linguistics, artificial intelligence, and language education.
To fill out image-based bilingual lexicon induction, one must gather images representing concepts or words in one language, annotate these images with their corresponding words in a target language, and compile this information into a structured lexicon format.
The purpose of image-based bilingual lexicon induction is to facilitate language learning and processing by creating a reference that connects visual representations with their linguistic counterparts in different languages.
The information that must be reported includes the images used, the source or context of the images, the corresponding words in both languages, and any relevant metadata that supports the connections made between the images and the words.
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