Sign Language Interpreter With Grammatical Parsing Context
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Solution Overview
Problem
Existing sign language translation technologies often fail to accurately translate sign language utterances due to the lack of consideration for grammatical and contextual aspects, resulting in mechanical sign-by-sign translations that do not capture the intended meaning.
Innovation Solution
A method and system that incorporates grammatical parsing and contextual understanding to translate sign language utterances into a target language, using motion capture data to produce phonemes and sign fragments, and generating output utterances based on grammatical representations, with confidence values and user validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sign language is translated using simple optical sensors and direct sign-to-text mapping, then the translation process is fast and simple, but the translation accuracy and contextual understanding deteriorate
Solution Approach 1:
The system segments the translation process into distinct functional modules: motion capture data acquisition, phoneme/sign fragment extraction, grammatical parsing, contextual analysis, and target language generation. Each module handles a specific aspect of the translation task, allowing for improved accuracy through specialized processing while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The system introduces intermediate representations (phonemes, sign fragments, grammatical parse trees) between the input motion capture data and the final translated output. These intermediaries enable progressive refinement of the translation, allowing contextual and grammatical analysis to be applied systematically rather than attempting direct translation.
2Measurement precision
If sign language utterances are translated sign-by-sign without grammatical context, then the processing speed is fast, but the translation quality and meaning preservation deteriorate
Solution Approach 1:
The system performs preliminary grammatical parsing and contextual analysis on the sign language utterance before generating the final translation. By establishing the grammatical structure and contextual relationships in advance, the system ensures that the translation preserves the intended meaning while avoiding the need for time-consuming post-processing corrections.
Solution Approach 2:
The system processes the sign language utterance as a continuous stream, maintaining contextual information across multiple signs and updates the translation progressively as more input becomes available. This continuous processing allows for faster response times while still incorporating full contextual and grammatical analysis.
Data Source
AI summary
A system and method for translating sign language utterances into a target language, including: receiving motion capture data; producing phonemes/sign fragments from the received motion capture data; producing a plurality of sign sequences from the phonemes/sign fragments; parsing these sign sequences to produce grammatically parsed sign utterances; translating the grammatically parsed sign utterances into grammatical representations in the target language; and generating output utterances in the target language based upon the grammatical representations.