Improving Word Sense Disambiguation with Translations

no code implementations • EMNLP 2020 • Yixing Luan, Bradley Hauer, Lili Mou, Grzegorz Kondrak

It has been conjectured that multilingual information can help monolingual word sense disambiguation (WSD).

Machine Translation Translation +1

Semi-Supervised and Unsupervised Sense Annotation via Translations

no code implementations • RANLP 2021 • Bradley Hauer, Grzegorz Kondrak, Yixing Luan, Arnob Mallik, Lili Mou

Our two unsupervised methods refine sense annotations produced by a knowledge-based WSD system via lexical translations in a parallel corpus.

Machine Translation Translation +1

UAlberta at SemEval-2020 Task 2: Using Translations to Predict Cross-Lingual Entailment

no code implementations • SEMEVAL 2020 • Bradley Hauer, Amir Ahmad Habibi, Yixing Luan, Arnob Mallik, Grzegorz Kondrak

We investigate the hypothesis that translations can be used to identify cross-lingual lexical entailment.

Lexical Entailment Task 2 +1

Low-Resource G2P and P2G Conversion with Synthetic Training Data

no code implementations • WS 2020 • Bradley Hauer, Amir Ahmad Habibi, Yixing Luan, Arnob Mallik, Grzegorz Kondrak

This paper presents the University of Alberta systems and results in the SIGMORPHON 2020 Task 1: Multilingual Grapheme-to-Phoneme Conversion.

Cognate Projection for Low-Resource Inflection Generation

no code implementations • WS 2019 • Bradley Hauer, Amir Ahmad Habibi, Yixing Luan, Rashed Rubby Riyadh, Grzegorz Kondrak

We propose cognate projection as a method of crosslingual transfer for inflection generation in the context of the SIGMORPHON 2019 Shared Task.

You Shall Know the Most Frequent Sense by the Company it Keeps

no code implementations • 21 Aug 2018 • Bradley Hauer, Yixing Luan, Grzegorz Kondrak

Identification of the most frequent sense of a polysemous word is an important semantic task.

Translation