[PDF] Top 20 Communicating Unknown Words in Machine Translation
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Communicating Unknown Words in Machine Translation
... content words the general impression is that the explanations tries to use more common words, which generally helps the translation ...common words that are used in the definitions in the ... See full document
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System Description of bjtu nlp Neural Machine Translation System
... In this paper, we described our NMT system which used RNN and GRU, and we adopt the attention mechanism into the encoder–decoder network. We also presented a translation-specific approach to solve the ... See full document
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Neural Machine Translation of Rare Words with Subword Units
... Neural machine translation (NMT) mod- els typically operate with a fixed vocabu- lary, but translation is an open-vocabulary ...the translation of out-of-vocabulary words by backing off ... See full document
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Domain Adaptation for Machine Translation by Mining Unseen Words
... statistical machine translation ...unseen words, and the degree to which this degrades translation perfor- ...all unknown words are names, then copying them verbatim may be ... See full document
6
Pointing the Unknown Words
... and unknown words is an important issue that can potentially effect the performance of many NLP sys- tems, including traditional count-based and deep learning ...unseen words for the neural network ... See full document
10
Graph Propagation for Paraphrasing Out of Vocabulary Words in Statistical Machine Translation
... (oov) words or phrases still re- main a challenge in statistical machine ...copy unknown words verba- tim to the target language ...the translation in other types of oovs and distant ... See full document
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Generation of Compound Words in Statistical Machine Translation into Compounding Languages
... in translation from German into English have been addressed by several ...for translation from German is to split compounds in a preprocessing step prior to training and translation using some ... See full document
42
Improving Phrase based Statistical Myanmar to English Machine Translation with Morphological Analysis
... used translation probabilities. There are unknown words in baseline translation ...the words in test set are not present in the training ...OOV words appear in proper nouns, verb ... See full document
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A Novel Approach for Handling Unknown Word Problem in Chinese-Vietnamese Machine Translation
... For languages where space cannot be a boundary of a word, such as Chinese and Vietnamese, word segmentation is always the task to be done first in a statistical machine translation system (SMT). The word ... See full document
10
Dealing with unknown words in statistical machine translation
... Statistical Machine Translation systems base their perfor- mance in the possibility of finding high frequent patterns of co-occurrences of ...unfrequent words have a higher probability of being ... See full document
5
Applicability and Challenges of Using Machine Translation in Translator Training
... students’ translation expertise is mainly confined to lexical, syntactical, and grammatical aspects ...the translation assignment specific deliberations such as skopos, translation brief and the ... See full document
12
Bag of Words as Target for Neural Machine Translation
... There is also a study (Zhao et al., 2017) shares a similar name with this work, i.e. bag-of-word loss, our work has significant difference with this study. First, the methods are very different. The previous work uses ... See full document
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Understanding of unknown medical words
... These terms are annotated by five French na- tive speakers, aged from 25 to 60, without med- ical training and with different social and profes- sional status. Each annotator received a set with randomly ordered 29,641 ... See full document
10
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... Our example sentences are of variable length and semantic complexity. The BLEU values of each sentence based on RBMT, EBMT and the two online SMT systems (Google translate and Bing Translator) are illustrated using a ... See full document
8
Unknown quantity: Joyce's words
... The ‘unknown quantity’ for O’Nolan is Irish, whose legacy allows a writer to inhabit English yet stand askew to it, a resident alien whose ambiguous relation to the tongue echoes the ambiguity of Ireland’s ... See full document
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Crisis MT: Developing A Cookbook for MT in Crisis Situations
... previously unknown languages, including Machine Translation systems, there was a surprising amount of data for Krey`ol at the start of the Haitian crisis, and it be- came available relatively ... See full document
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Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers
... The focus of our conference was to use parallel corpora for machine translation. Recent experimentation has shown that the performance of SMT systems varies greatly with the source language. In this ... See full document
28
Statistical Machine Translation through Global Lexical Selection and Sentence Reconstruction
... These observations prompted us to formulate the lexical choice problem without the need for word alignment information. We require a sentence aligned corpus as before, but we treat the target sen- tence as a ... See full document
8
Processing Unknown Words in HPSG
... Generalizable information exhibits another peculiarity: we need a disjoint auxiliary type u_g to correctly mark the initial unknown information state This is because 'content' types like[r] ... See full document
5
Spell Checking Techniques for Replacement of Unknown Words and Data Cleaning for Haitian Creole SMS Translation
... We went through the lexicon list manually to iden- tify edits that could correct the misspellings that oc- curred in the list. We identified substitutions lim- ited to three characters in length, and at the begin- ning ... See full document
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