Published May 19, 2022

136 - Including Signed Languages in NLP, with Kayo Yin and Malihe Alikhani

Explore the integration of signed languages into Natural Language Processing as Kayo Yin and Malihe Alikhani discuss overcoming data scarcity, the importance of community collaboration, and the intricate linguistic features necessary for developing inclusive and representative sign language processing models.

Episode Highlights

Topics covered

Episode Highlights

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Dexa/NLP Highlights

136 - Including Signed Languages in NLP, with Kayo Yin and Malihe Alikhani

Topics covered

Popular Clips

Sign Language Nuances

Inclusive NLP Insights

Sign Language Technology

Sign Language Modeling

Sign Language Processing

Sign Language Data

Sign Language Tokenization

Sign Language Representation

Sign Language Processing

Engaging Deaf Community

Sign Language NLP Extension

Sign Language Technology

Enhancing Sign Language Data

Episode Highlights

Data Collection Challenges

Community Engagement

Sign Language Processing

Linguistic Features

Related Episodes

119 - Social NLP, with Diyi Yang

130 - Linking human cognitive patterns to NLP Models, with Lisa Beinborn

131 - Opportunities and Barriers between HCI and NLP, with Nanna Inie and Leon Derczynski

127 - Masakhane and Participatory Research for African Languages, with Tosin Adewumi and Perez Ogayo

81 - BlackboxNLP, with Afra Alishahi and Tal Linzen

116 - Grounded Language Understanding, with Yonatan Bisk

44 - Truly Low Resource NLP, with Anders Søgaard

109 - What Does Your Model Know About Language, with Ellie Pavlick

106 - Ethical Considerations In NLP Research, with Emily Bender

93 - NLP/ML for clinical data, with Alistair Johnson

121 - Language and the Brain, with Alona Fyshe

27 - What do Neural Machine Translation Models Learn about Morphology?, with Yonatan Belinkov

38 - A Corpus of Natural Language for Visual Reasoning, with Alane Suhr

115 - AllenNLP, interviewing Matt Gardner

92 - Computational Humanities, with David Bamman

136 - Including Signed Languages in NLP, with Kayo Yin and Malihe Alikhani

Topics covered

Popular Clips

Episode Highlights

Data Collection ChallengesThe discussion explores innovative solutions to overcome the scarcity of sign language data and emphasizes the importance of representative datasets for inclusive Sign Language Processing models.

Data Collection Challenges

Community EngagementKayo Yin and Malihe Alikhani discuss the critical role of community involvement in developing sign language processing technologies. They highlight past mistakes and emphasize the need for inclusive and representative approaches to avoid repeating them.

Community Engagement

Sign Language Processing

Linguistic FeaturesKayo Yin and Malihe Alikhani explore the intricate nuances of sign languages, emphasizing their unique linguistic features and spatial interactions. They discuss the challenges and opportunities for NLP models to accurately represent these languages.

Linguistic Features

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