43 citations · 72 across the 11 of their papers we have counts for
11 papers
Improving Informally Romanized Language Identification
Adrian Benton, Alexander Gutkin, Christo Kirov +1
The Latin script is often used to informally write languages with non-Latin native scripts. In many cases (e.g., most languages in India), the lack of conventional spelling in the…
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
Sebastian Ruder, Jonathan H. Clark, Alexander Gutkin +24
Data scarcity is a crucial issue for the development of highly multilingual NLP systems. Yet for many under-represented languages (ULs) -- languages for which NLP re-search is part…
Beyond Arabic: Software for Perso-Arabic Script Manipulation
Alexander Gutkin, Cibu Johny, Raiomond Doctor +2
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…
Helpful Neighbors: Leveraging Neighbors in Geographic Feature Pronunciation
Llion Jones, Richard Sproat, Haruko Ishikawa +1
If one sees the place name Houston Mercer Dog Run in New York, how does one know how to pronounce it? Assuming one knows that Houston in New York is pronounced "how-ston" and not l…
Graphemic Normalization of the Perso-Arabic Script
Raiomond Doctor, Alexander Gutkin, Cibu Johny +2
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 re…
Building Machine Translation Systems for the Next Thousand Languages
Ankur Bapna, Isaac Caswell, Julia Kreutzer +21
In this paper we share findings from our effort to build practical machine translation (MT) systems capable of translating across over one thousand languages. We describe results i…
Google Crowdsourced Speech Corpora and Related Open-Source Resources for Low-Resource Languages and Dialects: An Overview
Alena Butryna, Shan-Hui Cathy Chu, Isin Demirsahin +18
This paper presents an overview of a program designed to address the growing need for developing freely available speech resources for under-represented languages. At present we ha…
NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task
Alexander Gutkin, Richard Sproat
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 fro…
Towards Induction of Structured Phoneme Inventories
Alexander Gutkin, Martin Jansche, Lucy Skidmore
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 a…
Linguistic Typology Features from Text: Inferring the Sparse Features of World Atlas of Language Structures
Alexander Gutkin, Tatiana Merkulova, Martin Jansche
The use of linguistic typological resources in natural language processing has been steadily gaining more popularity. It has been observed that the use of typological information,…
Sampling from Stochastic Finite Automata with Applications to CTC Decoding
Martin Jansche, Alexander Gutkin
Stochastic finite automata arise naturally in many language and speech processing tasks. They include stochastic acceptors, which represent certain probability distributions over r…