Interactive and Adaptive Neural Machine Translation

In this dissertation, we examine applications of neural machine translation to computer aided translation, with the goal of building tools for human translators. We present a neural approach to interactive translation prediction (a form of "auto-complete" for human translators) and demonstrate its effectiveness through both simulation studies, where it outperforms a phrase-based statistical machine translation approach, and a user study. We find that about half of the translators in the study are faster using neural interactive translation prediction than they are when post-editing output of the same underlying machine translation system, and most translators express positive reactions to the tool. We perform an analysis of some challenges that neural machine translation systems face, particularly with respect to novel words and consistency. We experiment with methods of improving translation quality at a fine-grained level to address those challenges. Finally, we bring these two areas -- interactive and adaptive neural machine translation -- together in a simulation that shows that their combination has a positive impact on novel word translation and other metrics

“Transfer Talk” in Talk about Writing in Progress: Two Propositions about Transfer of Learning

This article tracks the emergence of the concept of “transfer talk”—a concept distinct from transfer of learning—and teases out the implications of transfer talk for theories of transfer of learning. The concept of transfer talk was developed through a systematic examination of 30 writing center transcripts and is defined as “the talk through which individuals make visible their prior learning (in this case, about writing) or try to access the prior learning of someone else.” In addition to including a taxonomy of transfer talk and analysis of which types occur most often in this set of conferences, this article advances two propositions about the nature of transfer of learning: (1) transfer of learning may have an important social, even collaborative, component and (2) although meta-awareness about writing has long been recognized as valuable for transfer of learning, more automatized knowledge may play an important role as well

Indirect measurement of dysfunctional attitudes in bipolar affective disorder

Objective. The present study uses an indirect measure to explore whether dysfunctional attitudes are characteristic of all phases of bipolar disorder. Previous studies with bipolar patients using indirect measurements have uncovered depression-like responses that were otherwise undetected. Design. A cross-sectional study design was adopted to explore the presence of dysfunctional attitudes within each phase of the illness. Method. Manic patients, depressed bipolar patients, remitted bipolar patients, and healthy controls were compared on a sentence stem completion task designed to implicitly assess dysfunctional attitudes. Results. The manic, depressed, and remitted patients all exceeded the controls on implicit measures of dysfunctional attitudes. Conclusions. The findings are consistent with the hypothesis that all phases of bipolar disorder are associated with depressogenic dysfunctional attitudes. © 2009 The British Psychological Society

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. We show both deficiencies and improvements over the quality of phrase-based statistical machine translation.Comment: 12 pages; First Workshop on Neural Machine Translation, 201

The difficult conversation : a qualitative evaluation of the ‘Eat Well Move More’ family weight management service

Objective The Eat Well Move More (EWMM) family and child weight management service is a 12-week intervention integrating healthy eating and physical activity education and activities for families and children aged 4–16. EWMM service providers identified low uptake 12 months prior to the evaluation. The aims of this study were to describe referral practices and pathways into the service to identify potential reasons for low referral and uptake rates. Results We conducted interviews and focus groups with general practitioners (GPs) (n = 4), school nurses, and nursing assistants (n = 12). Data were analysed using thematic analysis. School nurses highlighted three main barriers to making a referral: parent engagement, child autonomy, and concerns over the National Child Measurement Programme letter. GPs highlighted that addressing obesity among children is a ‘difficult conversation’ with several complex issues related to and sustaining that difficulty. In conclusion, referral into weight management services in the community may persistently lag if a larger and more complex tangle of barriers lie at the point of school nurse and GP decision-making. The national prevalence of, and factors associated with this hesitation to discuss weight management issues with parents and children remains largely unknown