Large language models (LLMs) implicitly learn to perform a range of lang...
Construction Grammar (CxG) has recently been used as the basis for probi...
Multilingual transfer techniques often improve low-resource machine
tran...
Most recent speech recognition models rely on large supervised datasets,...
Developing Automatic Speech Recognition (ASR) for low-resource languages...
Coordinate compounds (CCs) and elaborate expressions (EEs) are coordinat...
Each language has its own complex systems of word, phrase, and sentence
...
Building language-universal speech recognition systems entails producing...
There is growing interest in ASR systems that can recognize phones in a
...
Text generation systems are ubiquitous in natural language processing
ap...
Creating a descriptive grammar of a language is an indispensable step fo...
Cross-lingual transfer learning studies how datasets, annotations, and m...
Public health practitioners and policy makers grapple with the challenge...
We introduce a new resource, AlloVera, which provides mappings from 218
...
Multilingual models can improve language processing, particularly for lo...
Automatic phonemic transcription tools are useful for low-resource langu...
We perform statistical analysis of the phenomenon of neology, the proces...
Neural Machine Translation (NMT) does not handle low-resource translatio...
This paper presents the submission by the CMU-01 team to the SIGMORPHON ...
This paper describes the ARIEL-CMU submissions to the Low Resource Human...
Much work in Natural Language Processing (NLP) has been for resource-ric...