A taxonomy and review of generalization research in NLP
The ability to generalize well is one of the primary desiderata for models of natural language
processing (NLP), but what 'good generalization'entails and how it should be evaluated is …
processing (NLP), but what 'good generalization'entails and how it should be evaluated is …
NusaCrowd: Open source initiative for Indonesian NLP resources
We present NusaCrowd, a collaborative initiative to collect and unify existing resources for
Indonesian languages, including opening access to previously non-public resources …
Indonesian languages, including opening access to previously non-public resources …
State-of-the-art generalisation research in NLP: a taxonomy and review
The ability to generalise well is one of the primary desiderata of natural language
processing (NLP). Yet, what'good generalisation'entails and how it should be evaluated is …
processing (NLP). Yet, what'good generalisation'entails and how it should be evaluated is …
One country, 700+ languages: NLP challenges for underrepresented languages and dialects in Indonesia
NLP research is impeded by a lack of resources and awareness of the challenges presented
by underrepresented languages and dialects. Focusing on the languages spoken in …
by underrepresented languages and dialects. Focusing on the languages spoken in …
Hints on the data for language modeling of synthetic languages with transformers
R Zevallos, N Bel - Proceedings of the 61st Annual Meeting of the …, 2023 - aclanthology.org
Abstract Language Models (LM) are becoming more and more useful for providing
representations upon which to train Natural Language Processing applications. However …
representations upon which to train Natural Language Processing applications. However …
Morphological Processing of Low-Resource Languages: Where We Are and What's Next
Automatic morphological processing can aid downstream natural language processing
applications, especially for low-resource languages, and assist language documentation …
applications, especially for low-resource languages, and assist language documentation …
Morphological inflection: A reality check
Morphological inflection is a popular task in sub-word NLP with both practical and cognitive
applications. For years now, state-of-the-art systems have reported high, but also highly …
applications. For years now, state-of-the-art systems have reported high, but also highly …
Morphology without borders: Clause-level morphology
O Goldman, R Tsarfaty - Transactions of the Association for …, 2022 - direct.mit.edu
Morphological tasks use large multi-lingual datasets that organize words into inflection
tables, which then serve as training and evaluation data for various tasks. However, a closer …
tables, which then serve as training and evaluation data for various tasks. However, a closer …
SIGMORPHON–UniMorph 2022 shared task 0: generalization and typologically diverse morphological inflection
The 2022 SIGMORPHON–UniMorph shared task on large scale morphological inflection
generation included a wide range of typologically diverse languages: 33 languages from 11 …
generation included a wide range of typologically diverse languages: 33 languages from 11 …
Re-Evaluating the Evaluation of Neural Morphological Inflection Models
Computational models of morphology acquisition have played a central role in debates over
the nature of morphological representations. The apparent success of recent artificial neural …
the nature of morphological representations. The apparent success of recent artificial neural …