Search Results for author: Pedro Mota

Found 4 papers, 0 papers with code

Fast-Paced Improvements to Named Entity Handling for Neural Machine Translation

no code implementations EAMT 2022 Pedro Mota, Vera Cabarrão, Eduardo Farah

In this work, we propose a Named Entity handling approach to improve translation quality within an existing Natural Language Processing (NLP) pipeline without modifying the Neural Machine Translation (NMT) component.

Machine Translation NMT +1

A Case Study on the Importance of Named Entities in a Machine Translation Pipeline for Customer Support Content

no code implementations EAMT 2022 Miguel Menezes, Vera Cabarrão, Pedro Mota, None Helena Moniz, Alon Lavie

This paper describes the research developed at Unbabel, a Portuguese Machine-translation start-up, that combines MT with human post-edition and focuses strictly on customer service content.

Machine Translation named-entity-recognition +2

Graph-Community Detection for Cross-Document Topic Segment Relationship Identification

no code implementations13 Jun 2016 Pedro Mota, Maxine Eskenazi, Luisa Coheur

In this context, we study how different weighting mechanisms influence the discovery of word communities that relate to the different topics found in the documents.

Clustering Community Detection

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