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Found 9 papers, 3 papers with code
Design principles of an open-source language modeling microservice package for AAC text-entry applications
We present MozoLM, an open-source language model microservice package intended for use in AAC text-entry applications, with a particular focus on the design principles of the library.
The Taxonomy of Writing Systems: How to Measure How Logographic a System Is
Our work provides the first quantifiable measure of the notion of logography that accords with linguistic intuition and, we argue, provides better insight into what this notion means.
Building Machine Translation Systems for the Next Thousand Languages
In this paper we share findings from our effort to build practical machine translation (MT) systems capable of translating across over one thousand languages.
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.
Google Crowdsourced Speech Corpora and Related Open-Source Resources for Low-Resource Languages and Dialects: An Overview
This paper presents an overview of a program designed to address the growing need for developing freely available speech resources for under-represented languages.
Towards Induction of Structured Phoneme Inventories
This extended abstract surveying the work on phonological typology was prepared for "SIGTYP 2020: The Second Workshop on Computational Research in Linguistic Typology" to be held at EMNLP 2020.
NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task
This paper describes the NEMO submission to SIGTYP 2020 shared task which deals with prediction of linguistic typological features for multiple languages using the data derived from World Atlas of Language Structures (WALS).
Linguistic Typology Features from Text: Inferring the Sparse Features of World Atlas of Language Structures
In this paper we investigate whether the various linguistic features from World Atlas of Language Structures (WALS) can be reliably inferred from multi-lingual text.
Sampling from Stochastic Finite Automata with Applications to CTC Decoding
We consider the problem of efficient sampling: drawing random string variates from the probability distribution represented by stochastic automata and transformations of those.
