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06/11/2023
Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction
Neural models have drastically advanced state of the art for machine tra...
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05/31/2023
Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the Speakers
In recent years machine translation has become very successful for high-...
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05/26/2023
An Investigation of Noise in Morphological Inflection
With a growing focus on morphological inflection systems for languages w...
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02/15/2023
Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models
Large multilingual models have inspired a new class of word alignment me...
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12/19/2022
Mind the Knowledge Gap: A Survey of Knowledge-enhanced Dialogue Systems
Many dialogue systems (DSs) lack characteristics humans have, such as em...
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11/30/2022
A Major Obstacle for NLP Research: Let's Talk about Time Allocation!
The field of natural language processing (NLP) has grown over the last f...
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10/22/2022
A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection
Neural networks have long been at the center of a debate around the cogn...
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03/21/2022
Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability
Pretrained multilingual models enable zero-shot learning even for unseen...
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03/16/2022
BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages
Morphologically-rich polysynthetic languages present a challenge for NLP...
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03/16/2022
Morphological Processing of Low-Resource Languages: Where We Are and What's Next
Automatic morphological processing can aid downstream natural language p...
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10/15/2021
The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color
Recent work has raised concerns about the inherent limitations of text-o...
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08/14/2021
Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages
We present the findings of the LoResMT 2021 shared task which focuses on...
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07/08/2021
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)
Welcome to WeaSuL 2021, the First Workshop on Weakly Supervised Learning...
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06/12/2021
Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data
High-performing machine translation (MT) systems can help overcome langu...
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06/09/2021
What Would a Teacher Do? Predicting Future Talk Moves
Recent advances in natural language processing (NLP) have the ability to...
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06/07/2021
PROST: Physical Reasoning of Objects through Space and Time
We present a new probing dataset named PROST: Physical Reasoning about O...
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06/03/2021
How to Adapt Your Pretrained Multilingual Model to 1600 Languages
Pretrained multilingual models (PMMs) enable zero-shot learning via cros...
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04/18/2021
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages
Pretrained multilingual models are able to perform cross-lingual transfe...
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01/26/2021
CLiMP: A Benchmark for Chinese Language Model Evaluation
Linguistically informed analyses of language models (LMs) contribute to ...
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01/26/2021
Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings
In contrast to their word- or sentence-level counterparts, character emb...
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10/06/2020
Tackling the Low-resource Challenge for Canonical Segmentation
Canonical morphological segmentation consists of dividing words into the...
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10/05/2020
Acrostic Poem Generation
We propose a new task in the area of computational creativity: acrostic ...
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06/21/2020
The NYU-CUBoulder Systems for SIGMORPHON 2020 Task 0 and Task 2
We describe the NYU-CUBoulder systems for the SIGMORPHON 2020 Task 0 on ...
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05/28/2020
The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion
In this paper, we describe the findings of the SIGMORPHON 2020 shared ta...
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05/27/2020
Self-Training for Unsupervised Parsing with PRPN
Neural unsupervised parsing (UP) models learn to parse without access to...
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05/26/2020
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too
Intermediate-task training has been shown to substantially improve pretr...
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05/25/2020
The IMS-CUBoulder System for the SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion
In this paper, we present the systems of the University of Stuttgart IMS...
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05/03/2020
Unsupervised Morphological Paradigm Completion
We propose the task of unsupervised morphological paradigm completion. G...
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05/01/2020
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?
While pretrained models such as BERT have shown large gains across natur...
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04/28/2020
Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages
Part-of-speech (POS) taggers for low-resource languages which are exclus...
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04/28/2020
Learning to Learn Morphological Inflection for Resource-Poor Languages
We propose to cast the task of morphological inflection - mapping a lemm...
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10/22/2019
Grammatical Gender, Neo-Whorfianism, and Word Embeddings: A Data-Driven Approach to Linguistic Relativity
The relation between language and thought has occupied linguists for at ...
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10/12/2019
Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge
How does knowledge of one language's morphology influence learning of in...
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09/04/2019
Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set
Development sets are impractical to obtain for real low-resource languag...
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08/16/2019
Transductive Auxiliary Task Self-Training for Neural Multi-Task Models
Multi-task learning and self-training are two common ways to improve a m...
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06/09/2019
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings
Word embeddings typically represent different meanings of a word in a si...
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04/03/2019
Subword-Level Language Identification for Intra-Word Code-Switching
Language identification for code-switching (CS), the phenomenon of alter...
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11/27/2018
Verb Argument Structure Alternations in Word and Sentence Embeddings
Verbs occur in different syntactic environments, or frames. We investiga...
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10/16/2018
The CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection
The CoNLL--SIGMORPHON 2018 shared task on supervised learning of morphol...
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09/24/2018
Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting
Neural state-of-the-art sequence-to-sequence (seq2seq) models often do n...
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09/24/2018
Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!
Motivated by recent findings on the probabilistic modeling of acceptabil...
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07/18/2018
Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name Typing
Embedding models typically associate each word with a single real-valued...
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07/01/2018
Lost in Translation: Analysis of Information Loss During Machine Translation Between Polysynthetic and Fusional Languages
Machine translation from polysynthetic to fusional languages is a challe...
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04/17/2018
Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages
Morphological segmentation for polysynthetic languages is challenging, b...
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05/17/2017
Unlabeled Data for Morphological Generation With Character-Based Sequence-to-Sequence Models
We present a semi-supervised way of training a character-based encoder-d...
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03/31/2017
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion
We present a novel cross-lingual transfer method for paradigm completion...
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02/07/2017
Comparative Study of CNN and RNN for Natural Language Processing
Deep neural networks (DNN) have revolutionized the field of natural lang...
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12/19/2016
Neural Multi-Source Morphological Reinflection
We explore the task of multi-source morphological reinflection, which ge...
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06/02/2016
