[PDF] Top 20 Pairwise Neural Machine Translation Evaluation
Has 10000 "Pairwise Neural Machine Translation Evaluation" found on our website. Below are the top 20 most common "Pairwise Neural Machine Translation Evaluation".
Pairwise Neural Machine Translation Evaluation
... this pairwise setting, the chal- lenge is to learn, from a pair of hypotheses, which are the features that help to discriminate the better from the worse ...the pairwise setting does not produce absolute ... See full document
10
A Large Scale Test Set for the Evaluation of Context Aware Pronoun Translation in Neural Machine Translation
... The simplest possible extension is to trans- late units larger than sentences. Tiedemann and Scherrer (2017) concatenate each sentence with the sentence that precedes it, for the source side of the corpus or both sides. ... See full document
12
Neural Machine Translation into Language Varieties
... optimizer (Kingma and Ba, 2014) with an ini- tial learning rate of 0.2 and a dropout also set to 0.2 . A shared source and target vocabulary of size 16k is generated via sub-word segmentation (Wu et al., 2016). The ... See full document
9
Why Self Attention? A Targeted Evaluation of Neural Machine Translation Architectures
... Recurrent neural networks (RNNs) (Elman, 1990) can easily deal with variable-length input sentences and thus are a natural choice for the encoder and decoder of NMT ...a neural architecture where both the ... See full document
10
A neural interlingua for multilingual machine translation
... explicit neural interlin- gua into a multilingual encoder-decoder neural machine translation (NMT) ...zero-shot translation (without using pivot translation), and by using the ... See full document
9
Proceedings of the Second Conference on Machine Translation
... three translation tasks: Machine Translation of News, Biomedical Translation, and Multimodal Machine Translation, two evaluation tasks: Metrics and Quality Estimation, as ... See full document
24
On the use of BERT for Neural Machine Translation
... supervised Neural Machine Trans- ...set evaluation, we perform evaluation on out-of-domain test sets and noise injected test sets, in order to assess how BERT pretrained representations affect ... See full document
10
Sentiment Aware Neural Machine Translation
... We propose methods for producing translations of both positive and negative sentiment of a given source sentence. In our sentiment-aware transla- tion task, users input a desired sentiment label dur- ing decoding and ... See full document
7
Pre Translation for Neural Machine Translation
... We can see in the figure, that when N = 100K , where only the common words are used, we perform best using the NMT system. The PreMT system performs similar and the PBMT system performs clearly worse. If we now decrease ... See full document
9
Human Evaluation of Neural Machine Translation: The Case of Deep Learning
... It is important to note that these typologies were established before the creation of NMT, and it could therefore be argued that they concentrate mostly on features for which more recent MT systems are not likely to ... See full document
11
Machine Translation Evaluation using Recurrent Neural Networks
... Recent best performing metrics in the WMT- 14 metric shared task (Mach´acek and Bojar, 2014) used a combination of different metrics. The top performing system DiskoTK-Party-Tuned (Joty et al., 2014) in the WMT-14 task ... See full document
5
An Evaluation of Two Vocabulary Reduction Methods for Neural Machine Translation
... Neural machine translation (NMT) models are conventionally trained with fixed-size vocabu- laries to control the computational complexity and the quality of the learned word represen- ...modeling ... See full document
14
Residual Stacking of RNNs for Neural Machine Translation
... enhance Neural Machine Translation models, several obvious ways such as enlarging the hid- den size of recurrent layers and stacking multiple layers of RNN can be ...empirical evaluation, ... See full document
7
Comparing a Hand crafted to an Automatically Generated Feature Set for Deep Learning: Pairwise Translation Evaluation
... automatic evaluation of machine translation (MT) has proven to be a very significant research ...automatic evaluation methods focus on the evalua- tion of the output of MT as they compute ... See full document
9
Neural Machine Translation for English Tamil
... a neural machine translation tech- nique (torch implementation) with word embed- ding and ...used evaluation matric ...conventional machine translation techniques on Tamil ... See full document
6
UCSYNLP Lab Machine Translation Systems for WAT 2019
... years, Neural Machine Translation (NMT) (Bahdanau et ...Statistical Machine Translation (SMT) ...the machine translation based on neural ... See full document
5
Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques
... We did our study in the domain of news articles and professions. However, human corpora has a broad spectrum of categories, as an instance: in- dustrial, medical, legal that may rise other biases particular to each area. ... See full document
8
Incorporating Discrete Translation Lexicons into Neural Machine Translation
... continuous-valued numbers. This is in contrast to more traditional SMT methods such as phrase-based machine translation (PBMT; Koehn et al. (2003)), which represent translations as discrete pairs of word ... See full document
11
Graph Based Translation Memory for Neural Machine Translation
... There are many works involving graph structures to improve NMT. For instance, Stahlberg et al. (2016) implicitly em- ploys a translation graph (i.e. lattice) generated by SMT by rewarding the words which have high ... See full document
8
Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering
... task-specific machine translation system (Axelrod et ...statistical machine translation are less effective for neural machine ... See full document
14
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