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[PDF] Top 20 An Evaluation of Language Agnostic Inner Attention Based Representations in Machine Translation

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An Evaluation of Language Agnostic Inner Attention Based Representations in Machine Translation

An Evaluation of Language Agnostic Inner Attention Based Representations in Machine Translation

... the attention bridge hampers the results for the monolingual se- mantic similarity measured with the cosine dis- tance, while it becomes easier in a bilingual sce- nario where the vector encodes only one source ... See full document

6

Machine Translation Evaluation using Recurrent Neural Networks

Machine Translation Evaluation using Recurrent Neural Networks

... state-of-the-art Machine Translation (MT) evaluation metrics are complex, involve extensive external re- sources ...metric based on dense vector spaces and Long Short Term Memory (LSTM) ... See full document

5

Urdu to English Machine Translation using Bilingual Evaluation Understudy

Urdu to English Machine Translation using Bilingual Evaluation Understudy

... national language of ...culture language and lingua franca of the South Asian Diaspora outside the Indo-Pak subcontinent, mainly in the Middle East, Europe, Canada and the United States ...natural ... See full document

8

Automatic generation of paraphrases to be used as translation references in objective evaluation measures of machine translation

Automatic generation of paraphrases to be used as translation references in objective evaluation measures of machine translation

... to evaluation of machine translation where the goal is to obtain high scores in BLEU and NIST, our goal here, when comparing a paraphrase to the seed sentence it has been produced for, is to get low ... See full document

8

Phrase Based Evaluation for Machine Translation

Phrase Based Evaluation for Machine Translation

... years, machine translation (MT) has benefited a lot from the advancement of automatic evaluation which, compared with manual evaluation, can give quick and objective feedback on the quality of ... See full document

10

Corpus based annotated test set for Machine Translation evaluation by an Industrial User

Corpus based annotated test set for Machine Translation evaluation by an Industrial User

... Corpus based annotated test set for Machine Translation evaluation by an Industrial User Corpus based annotated test set for Machine Translation evaluation by an Industrial User Eva DAUPHIN and V~roni[.] ... See full document

5

Metric for Automatic Machine Translation Evaluation based on Universal Sentence Representations

Metric for Automatic Machine Translation Evaluation based on Universal Sentence Representations

... Sentence representations can capture a wide range of information that cannot be captured by local features based on character or word ...sentence representations for eval- uating the quality of ... See full document

6

Structured vs  Flat Semantic Role Representations for Machine Translation Evaluation

Structured vs Flat Semantic Role Representations for Machine Translation Evaluation

... n-gram based MT evaluation metrics that are bet- ter at evaluating translation adequacy, particularly at the sentence ...of translation. Liu and Gildea (2005) propose STM, a metric ... See full document

11

CKY based Convolutional Attention for Neural Machine Translation

CKY based Convolutional Attention for Neural Machine Translation

... an attention mechanism for NMT based on CNNs, which imitates the CKY al- ...Japanese translation task showed that the proposed attention gained ...proposed attention in terms of memory ... See full document

6

Proceedings of the Third Conference on Machine Translation: Research Papers

Proceedings of the Third Conference on Machine Translation: Research Papers

... three translation tasks: Machine Translation of News, Biomedical Translation, and Multimodal Machine Translation, two evaluation tasks: Metrics and Quality Estimation, as ... See full document

30

Proceedings of the Second Conference on Machine Translation

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

Neural Network Transduction Models in Transliteration Generation

Neural Network Transduction Models in Transliteration Generation

... year’s evaluation is the use of a neural network that is capable of performing the entire transductive pro- ...of machine transla- ...of machine translation but with typically much smaller ... See full document

6

Domain Adaptation and Attention Based Unknown Word Replacement in Chinese to Japanese Neural Machine Translation

Domain Adaptation and Attention Based Unknown Word Replacement in Chinese to Japanese Neural Machine Translation

... Chinese-to-Japanese translation task of scientific ...the attention-based unknown word replacement method consistently im- proves the BLEU scores by about ...automatic evaluation metrics, the ... See full document

9

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... Automatic Summarization 2000 Seattle Embedded Machine Translation Systems 2000 Seattle Reading Comprehension Tests as Evaluation for Computer-Based 2000 Seattle Language Understanding Sy[r] ... See full document

14

Fluency enhancement : applications to machine translation : thesis for Master of Engineering in Information & Telecommunications Engineering, Massey University, Palmerston North, New Zealand

Fluency enhancement : applications to machine translation : thesis for Master of Engineering in Information & Telecommunications Engineering, Massey University, Palmerston North, New Zealand

... instant translation has also increased, thus the amount of sites that offer this kind of service have popped up all over the ...automated evaluation of MT systems using such evaluation schemes as ... See full document

181

An Analysis of Encoder Representations in Transformer Based Machine Translation

An Analysis of Encoder Representations in Transformer Based Machine Translation

... the attention weights of the net- work to build a graph and induce tree structures for each sentence, showing whether syntactic depen- dencies between words have been learned or not in the spirit of Williams et ... See full document

11

Multilingual NMT with a Language Independent Attention Bridge

Multilingual NMT with a Language Independent Attention Bridge

... for machine translation (MT) capable of obtain- ing multilingual sentence representations by incorporating an intermediate attention bridge that is shared across all ...with ... See full document

7

Exploring Distributional Representations and Machine Translation for Aspect based Cross lingual Sentiment Classification

Exploring Distributional Representations and Machine Translation for Aspect based Cross lingual Sentiment Classification

... little attention at ...aspect- based CLSC and leave the final goal of creating full aspect-based CLSA systems for under-resourced languages as future ... See full document

11

What does Attention in Neural Machine Translation Pay Attention to?

What does Attention in Neural Machine Translation Pay Attention to?

... Neural machine translation (NMT) has gained a lot of attention recently due to its substantial im- provements in machine translation quality achiev- ing state-of-the-art performance for ... See full document

10

Can SMT and RBMT Improve each other’s Performance?  An Experiment with English Hindi Translation

Can SMT and RBMT Improve each other’s Performance? An Experiment with English Hindi Translation

... the translation model authors allow the re- estimation of reordering models to improve ac- curacy of translated ...English-Indian language machine translation (Ramanathan et ... See full document

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