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Found 10 papers, 3 papers with code
Extensions to Brahmic script processing within the Nisaba library: new scripts, languages and utilities
The Brahmic family of scripts is used to record some of the most spoken languages in the world and is arguably the most diverse family of writing systems.
Finite-state script normalization and processing utilities: The Nisaba Brahmic library
This paper presents an open-source library for efficient low-level processing of ten major South Asian Brahmic scripts.
Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset
This paper describes the Dakshina dataset, a new resource consisting of text in both the Latin and native scripts for 12 South Asian languages.
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs
We also find that there are statistically significant relationships between the grammatical genders of inanimate nouns and the verbs that take those nouns as direct objects, as indirect objects, and as subjects.
Quantifying the Semantic Core of Gender Systems
To that end, we use canonical correlation analysis to correlate the grammatical gender of inanimate nouns with an externally grounded definition of their lexical semantics.
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection
The SIGMORPHON 2019 shared task on cross-lingual transfer and contextual analysis in morphology examined transfer learning of inflection between 100 language pairs, as well as contextual lemmatization and morphosyntactic description in 66 languages.
Latin script keyboards for South Asian languages with finite-state normalization
The use of the Latin script for text entry of South Asian languages is common, even though there is no standard orthography for these languages in the script.
On the Distribution of Deep Clausal Embeddings: A Large Cross-linguistic Study
Embedding a clause inside another ({``}the girl [who likes cars [that run fast]] has arrived{''}) is a fundamental resource that has been argued to be a key driver of linguistic expressiveness.
Combining Sentiment Lexica with a Multi-View Variational Autoencoder
When assigning quantitative labels to a dataset, different methodologies may rely on different scales.
A Structured Variational Autoencoder for Contextual Morphological Inflection
Statistical morphological inflectors are typically trained on fully supervised, type-level data.
