Search Results for author: Alex Jones

Found 7 papers, 6 papers with code

Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation

1 code implementation27 Mar 2023 Alex Jones, Isaac Caswell, Ishank Saxena, Orhan Firat

Neural machine translation (NMT) has progressed rapidly over the past several years, and modern models are able to achieve relatively high quality using only monolingual text data, an approach dubbed Unsupervised Machine Translation (UNMT).

Data Augmentation NMT +2

Finetuning a Kalaallisut-English machine translation system using web-crawled data

no code implementations5 Jun 2022 Alex Jones

We compile a corpus of over 93, 000 Kalaallisut sentences and over 140, 000 Danish sentences, then use cross-lingual sentence embeddings and approximate nearest-neighbors search in an attempt to mine near-translations from these corpora.

Machine Translation NMT +3

H2H: Heterogeneous Model to Heterogeneous System Mapping with Computation and Communication Awareness

1 code implementation29 Apr 2022 Xinyi Zhang, Cong Hao, Peipei Zhou, Alex Jones, Jingtong Hu

The heterogeneity in ML models comes from multi-sensor perceiving and multi-task learning, i. e., multi-modality multi-task (MMMT), resulting in diverse deep neural network (DNN) layers and computation patterns.

Multi-Task Learning

A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space

1 code implementation EMNLP 2021 Alex Jones, William Yang Wang, Kyle Mahowald

We verify some of our linguistic findings by looking at the effect of morphological segmentation on English-Inuktitut alignment, in addition to examining the effect of word order agreement on isomorphism for 66 zero-shot language pairs from a different corpus.

Retrieval Sentence

Sentiment-based Candidate Selection for NMT

1 code implementation10 Apr 2021 Alex Jones, Derry Tanti Wijaya

The explosion of user-generated content (UGC)--e. g. social media posts, comments, and reviews--has motivated the development of NLP applications tailored to these types of informal texts.

Binary Classification Decoder +5

Learning Deep Graph Representations via Convolutional Neural Networks

1 code implementation5 Apr 2020 Wei Ye, Omid Askarisichani, Alex Jones, Ambuj Singh

The learned deep representation for a graph is a dense and low-dimensional vector that captures complex high-order interactions in a vertex neighborhood.

General Classification Graph Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.