136 - Including Signed Languages In NLP, With Kayo Yin And Malihe Alikhani NLP Highlights podcast

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

2+ y ago 1:02:15

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Indhold leveret af NLP Highlights and Allen Institute for Artificial Intelligence. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af NLP Highlights and Allen Institute for Artificial Intelligence eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

In this episode, we talk with Kayo Yin, an incoming PhD at Berkeley, and Malihe Alikhani, an assistant professor at the University of Pittsburgh, about opportunities for the NLP community to contribute to Sign Language Processing (SLP). We talked about history and misconceptions about sign languages, high-level similarities and differences between spoken and sign languages, distinct linguistic features of signed languages, representations, computational resources, SLP tasks, and suggestions for better design and implementation of SLP models.

… continue reading

145 episoder

#Artificial Intelligence #Tech #Science #NLP Highlights #Allen Institute for Artificial Intelligence #Tell Us

Artwork

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

286 subscribers

published 2+ y ago

Del

MP3•Episode hjem

Indhold leveret af NLP Highlights and Allen Institute for Artificial Intelligence. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af NLP Highlights and Allen Institute for Artificial Intelligence eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

In this episode, we talk with Kayo Yin, an incoming PhD at Berkeley, and Malihe Alikhani, an assistant professor at the University of Pittsburgh, about opportunities for the NLP community to contribute to Sign Language Processing (SLP). We talked about history and misconceptions about sign languages, high-level similarities and differences between spoken and sign languages, distinct linguistic features of signed languages, representations, computational resources, SLP tasks, and suggestions for better design and implementation of SLP models.

… continue reading

145 episoder

#Artificial Intelligence #Tech #Science #NLP Highlights #Allen Institute for Artificial Intelligence #Tell Us

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