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Found 25 papers, 2 papers with code
Neural Interactive Translation Prediction
We present an interactive translation prediction method based on neural machine translation.
NRC Systems for the 2020 Inuktitut-English News Translation Task
We describe the National Research Council of Canada (NRC) submissions for the 2020 Inuktitut-English shared task on news translation at the Fifth Conference on Machine Translation (WMT20).
NRC-CNRC Machine Translation Systems for the 2021 AmericasNLP Shared Task
We describe the NRC-CNRC systems submitted to the AmericasNLP shared task on machine translation.
NRC Systems for Low Resource German-Upper Sorbian Machine Translation 2020: Transfer Learning with Lexical Modifications
We describe the National Research Council of Canada (NRC) neural machine translation systems for the German-Upper Sorbian supervised track of the 2020 shared task on Unsupervised MT and Very Low Resource Supervised MT.
Like Chalk and Cheese? On the Effects of Translationese in MT Training
We revisit the topic of translation direction in the data used for training neural machine translation systems and focusing on a real-world scenario with known translation direction and imbalances in translation direction: the Canadian Hansard.
Translation Memories as Baselines for Low-Resource Machine Translation
Low-resource machine translation research often requires building baselines to benchmark estimates of progress in translation quality.
NRC-CNRC Systems for Upper Sorbian-German and Lower Sorbian-German Machine Translation 2021
We describe our neural machine translation systems for the 2021 shared task on Unsupervised and Very Low Resource Supervised MT, translating between Upper Sorbian and German (low-resource) and between Lower Sorbian and German (unsupervised).
On the Stability of System Rankings at WMT
The current approach to collecting human judgments of machine translation quality for the news translation task at WMT – segment rating with document context – is the most recent in a sequence of changes to WMT human annotation protocol.
The Indigenous Languages Technology project at NRC Canada: An empowerment-oriented approach to developing language software
This paper surveys the first, three-year phase of a project at the National Research Council of Canada that is developing software to assist Indigenous communities in Canada in preserving their languages and extending their use.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Neural Polysynthetic Language Modelling
In the literature, languages like Finnish or Turkish are held up as extreme examples of complexity that challenge common modelling assumptions.
The Nunavut Hansard Inuktitut--English Parallel Corpus 3.0 with Preliminary Machine Translation Results
This paper describes a newly released sentence-aligned Inuktitut{--}English corpus based on the proceedings of the Legislative Assembly of Nunavut, covering sessions from April 1999 to June 2017.
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization
Despite recent advances in natural language processing and other language technology, the application of such technology to language documentation and conservation has been limited.
HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation
Bilingual lexicons are valuable resources used by professional human translators.
Context and Copying in Neural Machine Translation
In this work, we show that they learn to copy words based on both the context in which the words appear as well as features of the words themselves.
Document-Level Adaptation for Neural Machine Translation
It is common practice to adapt machine translation systems to novel domains, but even a well-adapted system may be able to perform better on a particular document if it were to learn from a translator{'}s corrections within the document itself.
Six Challenges for Neural Machine Translation
We explore six challenges for neural machine translation: domain mismatch, amount of training data, rare words, long sentences, word alignment, and beam search.
A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax
A traditional claim in linguistics is that all human languages are equally expressive{---}able to convey the same wide range of meanings.
