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Found 6 papers, 3 papers with code
Can Large Language Models Code Like a Linguist?: A Case Study in Low Resource Sound Law Induction
Historical linguists have long written a kind of incompletely formalized ''program'' that converts reconstructed words in an ancestor language into words in one of its attested descendants that consist of a series of ordered string rewrite functions (called sound laws).
PWESuite: Phonetic Word Embeddings and Tasks They Facilitate
Mapping words into a fixed-dimensional vector space is the backbone of modern NLP.
When Is TTS Augmentation Through a Pivot Language Useful?
Developing Automatic Speech Recognition (ASR) for low-resource languages is a challenge due to the small amount of transcribed audio data.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
A Methodology to Derive Global Maps of Leaf Traits Using Remote Sensing and Climate Data
The processing chain exploits machine learning techniques along with optical remote sensing data (MODIS/Landsat) and climate data for gap filling and up-scaling of in-situ measured leaf traits.
Applications Applied Physics
Interpolation and Gap Filling of Landsat Reflectance Time Series
Products derived from a single multispectral sensor are hampered by a limited spatial, spectral or temporal resolutions.
Towards Neural Programming Interfaces
It is notoriously difficult to control the behavior of artificial neural networks such as generative neural language models.
