research
∙
06/07/2023
Zambezi Voice: A Multilingual Speech Corpus for Zambian Languages
This work introduces Zambezi Voice, an open-source multilingual speech r...
share
research
∙
05/26/2023
CODET: A Benchmark for Contrastive Dialectal Evaluation of Machine Translation
Neural machine translation (NMT) systems exhibit limited robustness in h...
research
∙
05/26/2023
BIG-C: a Multimodal Multi-Purpose Dataset for Bemba
We present BIG-C (Bemba Image Grounded Conversations), a large multimoda...
research
∙
05/25/2023
Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communities
The wide accessibility of social media has provided linguistically under...
research
∙
05/24/2023
GlobalBench: A Benchmark for Global Progress in Natural Language Processing
Despite the major advances in NLP, significant disparities in NLP system...
research
∙
05/23/2023
LIMIT: Language Identification, Misidentification, and Translation using Hierarchical Models in 350+ Languages
Knowing the language of an input text/audio is a necessary first step fo...
research
∙
04/25/2023
GMNLP at SemEval-2023 Task 12: Sentiment Analysis with Phylogeny-Based Adapters
This report describes GMU's sentiment analysis system for the SemEval-20...
research
∙
04/03/2023
PALI: A Language Identification Benchmark for Perso-Arabic Scripts
The Perso-Arabic scripts are a family of scripts that are widely adopted...
research
∙
04/03/2023
Approaches to Corpus Creation for Low-Resource Language Technology: the Case of Southern Kurdish and Laki
One of the major challenges that under-represented and endangered langua...
research
∙
02/26/2023
User-Centric Evaluation of OCR Systems for Kwak'wala
There has been recent interest in improving optical character recognitio...
research
∙
01/23/2023
Noisy Parallel Data Alignment
An ongoing challenge in current natural language processing is how its m...
research
∙
12/20/2022
Geographic and Geopolitical Biases of Language Models
Pretrained language models (PLMs) often fail to fairly represent target ...
research
∙
06/10/2022
Teacher Perception of Automatically Extracted Grammar Concepts for L2 Language Learning
One of the challenges of language teaching is how to organize the rules ...
research
∙
05/19/2022
Phylogeny-Inspired Adaptation of Multilingual Models to New Languages
Large pretrained multilingual models, trained on dozens of languages, ha...
research
∙
05/19/2022
Educational Tools for Mapuzugun
Mapuzugun is the language of the Mapuche people. Due to political and hi...
research
∙
05/07/2022
UniMorph 4.0: Universal Morphology
The Universal Morphology (UniMorph) project is a collaborative effort pr...
research
∙
03/25/2022
AUTOLEX: An Automatic Framework for Linguistic Exploration
Each language has its own complex systems of word, phrase, and sentence ...
research
∙
03/24/2022
Revisiting the Effects of Leakage on Dependency Parsing
Recent work by Søgaard (2020) showed that, treebank size aside, overlap ...
research
∙
12/07/2021
Dataset Geography: Mapping Language Data to Language Users
As language technologies become more ubiquitous, there are increasing ef...
research
∙
11/04/2021
Lexically Aware Semi-Supervised Learning for OCR Post-Correction
Much of the existing linguistic data in many languages of the world is l...
research
∙
10/13/2021
Systematic Inequalities in Language Technology Performance across the World's Languages
Natural language processing (NLP) systems have become a central technolo...
research
∙
09/24/2021
SD-QA: Spoken Dialectal Question Answering for the Real World
Question answering (QA) systems are now available through numerous comme...
research
∙
09/24/2021
Investigating Post-pretraining Representation Alignment for Cross-Lingual Question Answering
Human knowledge is collectively encoded in the roughly 6500 languages sp...
research
∙
08/31/2021
Cross-Lingual Text Classification of Transliterated Hindi and Malayalam
Transliteration is very common on social media, but transliterated text ...
research
∙
06/22/2021
On the Evaluation of Machine Translation for Terminology Consistency
As neural machine translation (NMT) systems become an important part of ...
research
∙
06/15/2021
Code to Comment Translation: A Comparative Study on Model Effectiveness Errors
Automated source code summarization is a popular software engineering re...
research
∙
05/28/2021
Towards More Equitable Question Answering Systems: How Much More Data Do You Need?
Question answering (QA) in English has been widely explored, but multili...
research
∙
04/04/2021
Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties
Models pre-trained on multiple languages have shown significant promise ...
research
∙
03/30/2021
Evaluating the Morphosyntactic Well-formedness of Generated Texts
Text generation systems are ubiquitous in natural language processing ap...
research
∙
03/13/2021
Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling
Predicting user intent and detecting the corresponding slots from text a...
research
∙
02/09/2021
BembaSpeech: A Speech Recognition Corpus for the Bemba Language
We present a preprocessed, ready-to-use automatic speech recognition cor...
research
∙
11/10/2020
OCR Post Correction for Endangered Language Texts
There is little to no data available to build natural language processin...
research
∙
11/02/2020
Reducing Confusion in Active Learning for Part-Of-Speech Tagging
Active learning (AL) uses a data selection algorithm to select useful tr...
research
∙
10/20/2020
Comparison of Interactive Knowledge Base Spelling Correction Models for Low-Resource Languages
Spelling normalization for low resource languages is a challenging task ...
research
∙
10/13/2020
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models
Language models (LMs) have proven surprisingly successful at capturing f...
research
∙
10/12/2020
It's not a Non-Issue: Negation as a Source of Error in Machine Translation
As machine translation (MT) systems progress at a rapid pace, questions ...
research
∙
10/02/2020
Automatic Extraction of Rules Governing Morphological Agreement
Creating a descriptive grammar of a language is an indispensable step fo...
research
∙
07/03/2020
TICO-19: the Translation Initiative for Covid-19
The COVID-19 pandemic is the worst pandemic to strike the world in over ...
research
∙
06/20/2020
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection
A broad goal in natural language processing (NLP) is to develop a system...
research
∙
05/05/2020
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information
The performance of neural machine translation systems is commonly evalua...
research
∙
05/02/2020
Predicting Performance for Natural Language Processing Tasks
Given the complexity of combinations of tasks, languages, and domains in...
research
∙
04/27/2020
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization
Despite recent advances in natural language processing and other languag...
research
∙
04/24/2020
Practical Comparable Data Collection for Low-Resource Languages via Images
We propose a method of curating high-quality comparable training data fo...
research
∙
04/17/2020
AlloVera: A Multilingual Allophone Database
We introduce a new resource, AlloVera, which provides mappings from 218 ...
research
∙
04/07/2020
Dynamic Data Selection and Weighting for Iterative Back-Translation
Back-translation has proven to be an effective method to utilize monolin...
research
∙
04/05/2020
A Resource for Studying Chatino Verbal Morphology
We present the first resource focusing on the verbal inflectional morpho...
research
∙
02/26/2020
Universal Phone Recognition with a Multilingual Allophone System
Multilingual models can improve language processing, particularly for lo...
research
∙
01/10/2020
Towards Minimal Supervision BERT-based Grammar Error Correction
Current grammatical error correction (GEC) models typically consider the...
research
∙
12/14/2019
Towards Robust Toxic Content Classification
Toxic content detection aims to identify content that can offend or harm...
research
∙
12/04/2019