Sign language is a form of visual language that uses face expression and hand gestures to communicate thoughts and concepts. The term refers to multiple visual languages that share some common visual cues but differ in their grammar and syntax. Sign language translation (SLT) is a crucial step in closing the communication gap between hearing and hearingimpaired people. The study of SLT using machine learning has gotten a lot of interest during the last three years but despite progress, SLT research is still in its early phases. Most of the previous approaches first convert the signs to glosses and then convert the glosses into meaningful sentences. A gloss is a word connected to a sign or can also be called a label of a particular sign. The...
Sign languages represent an interesting niche for statistical machine translation that is typically ...
One of the major challenges in sign language translation from a sign language to a spoken language i...
Recent advancements in machine translation tasks, with the advent of attention mechanisms and Transf...
Prior work on Sign Language Translation has shown that having a mid-level sign gloss representation(...
Sign Language Recognition (SLR) has been an active research field for the last two decades. However,...
Sign languages have been studied by computer vision researchers for the last threedecades. One of th...
We consider neural sign language translation: machine translation from signed to written languages u...
In a world where people are more connected, the barriers between deaf people and hearing people is m...
We present a novel approach to automatic Sign Language Production using stateof- the-art Neural Mach...
Comunicació presentada a: 27th International Conference on Applications of Natural Language to Infor...
Sign language is a visual language. It is an effective way of communication for hearing and speech i...
AbstractSign languages are multi-channel visual languages, where signers use a continuous 3D space t...
Neural Sign Language Production (SLP) aims to automatically translate from spoken language sentences...
We present a novel approach to automatic Sign Language Production using recent developments in Neura...
Many sign languages are bonafide natural languages with grammatical rules and lexicons, hence can be...
Sign languages represent an interesting niche for statistical machine translation that is typically ...
One of the major challenges in sign language translation from a sign language to a spoken language i...
Recent advancements in machine translation tasks, with the advent of attention mechanisms and Transf...
Prior work on Sign Language Translation has shown that having a mid-level sign gloss representation(...
Sign Language Recognition (SLR) has been an active research field for the last two decades. However,...
Sign languages have been studied by computer vision researchers for the last threedecades. One of th...
We consider neural sign language translation: machine translation from signed to written languages u...
In a world where people are more connected, the barriers between deaf people and hearing people is m...
We present a novel approach to automatic Sign Language Production using stateof- the-art Neural Mach...
Comunicació presentada a: 27th International Conference on Applications of Natural Language to Infor...
Sign language is a visual language. It is an effective way of communication for hearing and speech i...
AbstractSign languages are multi-channel visual languages, where signers use a continuous 3D space t...
Neural Sign Language Production (SLP) aims to automatically translate from spoken language sentences...
We present a novel approach to automatic Sign Language Production using recent developments in Neura...
Many sign languages are bonafide natural languages with grammatical rules and lexicons, hence can be...
Sign languages represent an interesting niche for statistical machine translation that is typically ...
One of the major challenges in sign language translation from a sign language to a spoken language i...
Recent advancements in machine translation tasks, with the advent of attention mechanisms and Transf...