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Found 6 papers, 3 papers with code
Explainable Natural Language to Bash Translation using Abstract Syntax Tree
Natural language processing for program synthesis has been widely researched.
Efficient Constituency Tree based Encoding for Natural Language to Bash Translation
We observe a 1. 8x improvement in the inference time and a 5x reduction in model parameters.
Multimodal Modeling For Spoken Language Identification
Spoken language identification refers to the task of automatically predicting the spoken language in a given utterance.
MASR: Multi-label Aware Speech Representation
In the recent years, speech representation learning is constructed primarily as a self-supervised learning (SSL) task, using the raw audio signal alone, while ignoring the side-information that is often available for a given speech recording.
Label Aware Speech Representation Learning For Language Identification
In this paper, we propose a novel framework of combining self-supervised representation learning with the language label information for the pre-training task.
CodeQueries: A Dataset of Semantic Queries over Code
Compared to the existing datasets, in CodeQueries, the queries are about code semantics, the context is file level and the answers are code spans.
