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Found 37 papers, 8 papers with code
A Mixed-Methods Analysis of Western and Hong Kong–based Reporting on the 2019–2020 Protests
We apply statistical techniques from natural language processing to Western and Hong Kong–based English language newspaper articles that discuss the 2019–2020 Hong Kong protests of the Anti-Extradition Law Amendment Bill Movement.
Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions
Of particular interest, languages on the same branch of our phylogenetic tree are notably similar, whereas languages from separate branches are no more similar than chance.
Findings of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering
We describe the second SIGMORPHON shared task on unsupervised morphology: the goal of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering is to cluster word types from a raw text corpus into paradigms.
Deciphering and Characterizing Out-of-Vocabulary Words for Morphologically Rich Languages
This paper presents a detailed foundational empirical case study of the nature of out-of-vocabulary words encountered in modern text in a moderate-resource language such as Bulgarian, and a multi-faceted distributional analysis of the underlying word-formation processes that can aid in their compositional translation, tagging, parsing, language modeling, and other NLP tasks.
Hong Kong: Longitudinal and Synchronic Characterisations of Protest News between 1998 and 2020
This paper showcases the utility and timeliness of the Hong Kong Protest News Dataset, a highly curated collection of news articles from diverse news sources, to investigate longitudinal and synchronic news characterisations of protests in Hong Kong between 1998 and 2020.
Jump-Starting Item Parameters for Adaptive Language Tests
A challenge in designing high-stakes language assessments is calibrating the test item difficulties, either a priori or from limited pilot test data.
Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020
We apply statistical techniques from natural language processing to a collection of Western and Hong Kong–based English-language newspaper articles spanning the years 1998–2020, studying the difference and evolution of its portrayal.
Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models
However, the languages most in need of automatic alignment are low-resource and, thus, not typically included in the pretraining data.
Improved Long-Form Spoken Language Translation with Large Language Models
A challenge in spoken language translation is that plenty of spoken content is long-form, but short units are necessary for obtaining high-quality translations.
A Major Obstacle for NLP Research: Let's Talk about Time Allocation!
The field of natural language processing (NLP) has grown over the last few years: conferences have become larger, we have published an incredible amount of papers, and state-of-the-art research has been implemented in a large variety of customer-facing products.
UniMorph 4.0: Universal Morphology
The project comprises two major thrusts: a language-independent feature schema for rich morphological annotation and a type-level resource of annotated data in diverse languages realizing that schema.
Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation?
What can pre-trained multilingual sequence-to-sequence models like mBART contribute to translating low-resource languages?
Morphological Processing of Low-Resource Languages: Where We Are and What's Next
Automatic morphological processing can aid downstream natural language processing applications, especially for low-resource languages, and assist language documentation efforts for endangered languages.
On the Uncomputability of Partition Functions in Energy-Based Sequence Models
In this paper, we argue that energy-based sequence models backed by expressive parametric families can result in uncomputable and inapproximable partition functions.
AirWare: Utilizing Embedded Audio and Infrared Signals for In-Air Hand-Gesture Recognition
We introduce AirWare, an in-air hand-gesture recognition system that uses the already embedded speaker and microphone in most electronic devices, together with embedded infrared proximity sensors.
Hand Gesture Recognition
Hand-Gesture Recognition
Human-Computer Interaction
Neural Transduction for Multilingual Lexical Translation
We present a method for completing multilingual translation dictionaries.
The human unlikeness of neural language models in next-word prediction
The training objective of unidirectional language models (LMs) is similar to a psycholinguistic benchmark known as the cloze task, which measures next-word predictability.
The JHU Submission to the 2020 Duolingo Shared Task on Simultaneous Translation and Paraphrase for Language Education
This paper presents the Johns Hopkins University submission to the 2020 Duolingo Shared Task on Simultaneous Translation and Paraphrase for Language Education (STAPLE).
Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation
This paper proposes a simple and effective approach to address the problem of posterior collapse in conditional variational autoencoders (CVAEs).
Unsupervised Morphological Paradigm Completion
We propose the task of unsupervised morphological paradigm completion.
Massively Multilingual Pronunciation Modeling with WikiPron
We introduce WikiPron, an open-source command-line tool for extracting pronunciation data from Wiktionary, a collaborative multilingual online dictionary.
Fine-grained Morphosyntactic Analysis and Generation Tools for More Than One Thousand Languages
Exploiting the broad translation of the Bible into the world{'}s languages, we train and distribute morphosyntactic tools for approximately one thousand languages, vastly outstripping previous distributions of tools devoted to the processing of inflectional morphology.
UniMorph 3.0: Universal Morphology
The project comprises two major thrusts: a language-independent feature schema for rich morphological annotation and a type-level resource of annotated data in diverse languages realizing that schema.
The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration
The corpus consists of over 4000 unique translations of the Christian Bible and counting.
Predicting Declension Class from Form and Meaning
We find for two Indo-European languages (Czech and German) that form and meaning respectively share significant amounts of information with class (and contribute additional information above and beyond gender).
An Analysis of Massively Multilingual Neural Machine Translation for Low-Resource Languages
We find that best practices in this domain are highly language-specific: adding more languages to a training set is often better, but too many harms performance{---}the best number depends on the source language.
SkinAugment: Auto-Encoding Speaker Conversions for Automatic Speech Translation
Our method compares favorably to SpecAugment on English$\to$French and English$\to$Romanian automatic speech translation (AST) tasks as well as on a low-resource English automatic speech recognition (ASR) task.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Weird Inflects but OK: Making Sense of Morphological Generation Errors
We conduct a manual error analysis of the CoNLL-SIGMORPHON Shared Task on Morphological Reinflection.
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection
The SIGMORPHON 2019 shared task on cross-lingual transfer and contextual analysis in morphology examined transfer learning of inflection between 100 language pairs, as well as contextual lemmatization and morphosyntactic description in 66 languages.
Modeling Color Terminology Across Thousands of Languages
There is an extensive history of scholarship into what constitutes a "basic" color term, as well as a broadly attested acquisition sequence of basic color terms across many languages, as articulated in the seminal work of Berlin and Kay (1969).
Improved Variational Neural Machine Translation by Promoting Mutual Information
Posterior collapse plagues VAEs for text, especially for conditional text generation with strong autoregressive decoders.
Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade
In this work, we evaluate several data augmentation and pretraining approaches for AST, by comparing all on the same datasets.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Meaning to Form: Measuring Systematicity as Information
A longstanding debate in semiotics centers on the relationship between linguistic signs and their corresponding semantics: is there an arbitrary relationship between a word form and its meaning, or does some systematic phenomenon pervade?
UniMorph 2.0: Universal Morphology
The Universal Morphology UniMorph project is a collaborative effort to improve how NLP handles complex morphology across the world's languages.
The CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection
Apart from extending the number of languages involved in earlier supervised tasks of generating inflected forms, this year the shared task also featured a new second task which asked participants to inflect words in sentential context, similar to a cloze task.
Marrying Universal Dependencies and Universal Morphology
The Universal Dependencies (UD) and Universal Morphology (UniMorph) projects each present schemata for annotating the morphosyntactic details of language.
Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation
To better understand the effectiveness of continued training, we analyze the major components of a neural machine translation system (the encoder, decoder, and each embedding space) and consider each component's contribution to, and capacity for, domain adaptation.
