343 citations · 620 across the 68 of their papers we have counts for
17 papers · 1 filter
Reducing Confusion in Active Learning for Part-Of-Speech Tagging
Aditi Chaudhary, Antonios Anastasopoulos, Zaid Sheikh +1
Active learning (AL) uses a data selection algorithm to select useful training samples to minimize annotation cost. This is now an essential tool for building low-resource syntacti…
OCR Post Correction for Endangered Language Texts
Shruti Rijhwani, Antonios Anastasopoulos, Graham Neubig
There is little to no data available to build natural language processing models for most endangered languages. However, textual data in these languages often exists in formats tha…
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models
Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki +2
Language models (LMs) have proven surprisingly successful at capturing factual knowledge by completing cloze-style fill-in-the-blank questions such as "Punta Cana is located in _."…
Comparison of Interactive Knowledge Base Spelling Correction Models for Low-Resource Languages
Yiyuan Li, Antonios Anastasopoulos, Alan W Black
Spelling normalization for low resource languages is a challenging task because the patterns are hard to predict and large corpora are usually required to collect enough examples.…
It's not a Non-Issue: Negation as a Source of Error in Machine Translation
Md Mosharaf Hossain, Antonios Anastasopoulos, Eduardo Blanco +1
As machine translation (MT) systems progress at a rapid pace, questions of their adequacy linger. In this study we focus on negation, a universal, core property of human language t…
Automatic Extraction of Rules Governing Morphological Agreement
Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa +4
Creating a descriptive grammar of a language is an indispensable step for language documentation and preservation. However, at the same time it is a tedious, time-consuming task. I…
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection
Ekaterina Vylomova, Jennifer White, Elizabeth Salesky +25
A broad goal in natural language processing (NLP) is to develop a system that has the capacity to process any natural language. Most systems, however, are developed using data from…
TICO-19: the Translation Initiative for Covid-19
Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou +15
The COVID-19 pandemic is the worst pandemic to strike the world in over a century. Crucial to stemming the tide of the SARS-CoV-2 virus is communicating to vulnerable populations t…
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information
Emanuele Bugliarello, Sabrina J. Mielke, Antonios Anastasopoulos +2
The performance of neural machine translation systems is commonly evaluated in terms of BLEU. However, due to its reliance on target language properties and generation, the BLEU me…
Predicting Performance for Natural Language Processing Tasks
Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu +2
Given the complexity of combinations of tasks, languages, and domains in natural language processing (NLP) research, it is computationally prohibitive to exhaustively test newly pr…
Practical Comparable Data Collection for Low-Resource Languages via Images
Aman Madaan, Shruti Rijhwani, Antonios Anastasopoulos +2
We propose a method of curating high-quality comparable training data for low-resource languages with monolingual annotators. Our method involves using a carefully selected set of…
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization
Graham Neubig, Shruti Rijhwani, Alexis Palmer +21
Despite recent advances in natural language processing and other language technology, the application of such technology to language documentation and conservation has been limited…
AlloVera: A Multilingual Allophone Database
David R. Mortensen, Xinjian Li, Patrick Littell +6
We introduce a new resource, AlloVera, which provides mappings from 218 allophones to phonemes for 14 languages. Phonemes are contrastive phonological units, and allophones are the…
A Resource for Studying Chatino Verbal Morphology
Hilaria Cruz, Gregory Stump, Antonios Anastasopoulos
We present the first resource focusing on the verbal inflectional morphology of San Juan Quiahije Chatino, a tonal mesoamerican language spoken in Mexico. We provide a collection o…
Dynamic Data Selection and Weighting for Iterative Back-Translation
Zi-Yi Dou, Antonios Anastasopoulos, Graham Neubig
Back-translation has proven to be an effective method to utilize monolingual data in neural machine translation (NMT), and iteratively conducting back-translation can further impro…
Universal Phone Recognition with a Multilingual Allophone System
Xinjian Li, Siddharth Dalmia, Juncheng Li +8
Multilingual models can improve language processing, particularly for low resource situations, by sharing parameters across languages. Multilingual acoustic models, however, genera…
Towards Minimal Supervision BERT-based Grammar Error Correction
Yiyuan Li, Antonios Anastasopoulos, Alan W Black
Current grammatical error correction (GEC) models typically consider the task as sequence generation, which requires large amounts of annotated data and limit the applications in d…