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Found 17 papers, 7 papers with code
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.
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.
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.
Criteria for Useful Automatic Romanization in South Asian Languages
This paper presents a number of possible criteria for systems that transliterate South Asian languages from their native scripts into the Latin script, a process known as romanization.
Mockingbird at the SIGTYP 2022 Shared Task: Two Types of Models forthe Prediction of Cognate Reflexes
For reflex generation, the missing reflexes are treated as “masked pixels” in an “image” which is a representation of an entire cognate set across a language family.
Improving Informally Romanized Language Identification
The Latin script is often used to informally write languages with non-Latin native scripts.
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
We evaluate commonly used models on the benchmark.
Beyond Arabic: Software for Perso-Arabic Script Manipulation
This paper presents an open-source software library that provides a set of finite-state transducer (FST) components and corresponding utilities for manipulating the writing systems of languages that use the Perso-Arabic script.
Graphemic Normalization of the Perso-Arabic Script
Since its original appearance in 1991, the Perso-Arabic script representation in Unicode has grown from 169 to over 440 atomic isolated characters spread over several code pages representing standard letters, various diacritics and punctuation for the original Arabic and numerous other regional orthographic traditions.
Helpful Neighbors: Leveraging Neighbors in Geographic Feature Pronunciation
If one sees the place name Houston Mercer Dog Run in New York, how does one know how to pronounce it?
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.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
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.
