SIGTYP 2020 shared task: Prediction of typological features

J Bjerva, E Salesky, SJ Mielke, A Chaudhary… - arXiv preprint arXiv …, 2020 - arxiv.org
Typological knowledge bases (KBs) such as WALS (Dryer and Haspelmath, 2013) contain
information about linguistic properties of the world's languages. They have been shown to …

Colex2Lang: Language embeddings from semantic typology

Y Chen, R Biswas, J Bjerva - The 24th Nordic Conference on …, 2023 - vbn.aau.dk
In semantic typology, colexification refers to words with multiple meanings, either related
(polysemy) or unrelated (homophony). Studies of cross-linguistic colexification have yielded …

Automatic Extraction and Application of Language Descriptions for Under-Resourced Languages

A Chaudhary - 2022 - kilthub.cmu.edu
Languages of our world are amazingly diverse, consisting of varied and complex systems of
word, phrase, sentence construction, and vocabulary, to name a few. Understanding these …

Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation

VM Sánchez-Cartagena, JA Pérez-Ortiz… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper studies the effects of word-level linguistic annotations in under-resourced neural
machine translation, for which there is incomplete evidence in the literature. The study …

Incorporating inner-word and out-word features for Mongolian morphological segmentation

N Liu, X Su, H Zhang, G Gao, F Bao - Proceedings of the 28th …, 2020 - aclanthology.org
Mongolian morphological segmentation is regarded as a crucial preprocessing step in many
Mongolian related NLP applications and has received extensive attention. Recently, end-to …

[PDF][PDF] SIGTYP 2020 Shared Task: Prediction of Typological Features

GGA Celano, EM Ponti, E Vylomova, R Cotterell… - minerva-access.unimelb.edu.au
Typological knowledge bases (KBs) such as WALS (Dryer and Haspelmath, 2013) contain
information about linguistic properties of the world's languages. They have been shown to …

Universal Morphological Analysis using ReinforcementLearning

RA Cardenas Acosta - 2020 - dspace.cuni.cz
The persistent efforts to make valuable annotated corpora in more diverse, morphologically
rich languages has driven research in NLP into considering more explicit techniques to …

[PDF][PDF] Analysis of Natural Language Processing (NLP) approaches to determine semantic similarity between texts in domain-specific context

S Som - 2019 - studenttheses.uu.nl
Natural Language Processing (NLP) is a discipline which makes an effort to “gather
knowledge on how human beings understand and use language so that appropriate tools …