[PDF] Top 20 CharacTer: Translation Edit Rate on Character Level
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CharacTer: Translation Edit Rate on Character Level
... we sum up the edit distances of all sentences and also normalize the sum over the number of charac- ters in the whole data set. According to our exper- imental results (Table 1) of the human correlation scores, ... See full document
6
Compact and Robust Models for Japanese English Character level Machine Translation
... machine translation (NMT) has made a great progress, and its translation qual- ity has far surpassed the conventional statistical machine translation ...solution. Character-level ... See full document
9
Fully Character Level Neural Machine Translation without Explicit Segmentation
... multilingual character-level model outperforms the subword-level baseline by a considerable margin in all four language pairs, strongly indicating that a character-level model is more ... See full document
14
Character Level Neural Translation for Multilingual Media Monitoring in the SUMMA Project
... neural translation model. The character-level neural translation is enabled by forcing tokenizer to treat each input symbol as a separate “word” leading to the small and fixed “vocabulary” ... See full document
5
Plan, Attend, Generate: Character Level Neural Machine Translation with Planning
... on character-level translation tasks from WMT’15 for English to German, English to Finnish, and English to Czech language ...neural character-level ... See full document
7
Character Level Machine Translation Evaluation for Languages with Ambiguous Word Boundaries
... use character-level BLEU as our main ...of character-level BLEU and the average human judgments are shown in the first row of Tables 2 and 3 for the IWSLT and the NIST data set, ... See full document
9
A Character level Decoder without Explicit Segmentation for Neural Machine Translation
... Why Character-Level Translation? Why not Word-Level Translation? The most pressing issue with word-level processing is that we do not have a perfect word segmentation al- gorithm ... See full document
11
Neural Machine Translation of Logographic Language Using Sub character Level Information
... Some studies have performed NMT tasks using various sub-word “equivalents”. For instance, Du and Way (2017) trained factored NMT mod- els using “Pinyin” 3 sequences on the source side. Unfortunately, they did not apply a ... See full document
9
Character Level Chinese Dependency Parsing
... First, character-level trees circumvent the issue that no universal stan- dard exists for Chinese word ...from character- level dependency trees, and hence can adapt to flexible segmentation ... See full document
11
Character Level Question Answering with Attention
... a character-level encoder- decoder framework can be successfully ap- plied to question answering with a structured knowledge ...our character-level model has 16x fewer parameters than an ... See full document
10
Character Eyes: Seeing Language through Character Level Taggers
... the character level as well (Karpathy et ...the character component in multilingual parsing models empirically, comparing it to the contribu- tion of POS embeddings and pre-trained embed- ...lingual ... See full document
8
How Grammatical is Character level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs
... trastive translation pairs for the assessment of neu- ral machine translation ...specific translation errors to the contrastive trans- lations, we gain valuable insight into the abil- ity of ... See full document
7
Confusion Network Based System Combination for Chinese Translation Output: Word Level or Character Level?
... that character-level automatic metrics correlate with human judgment better than word-level automatic metrics for Chinese translation evaluation (Li et ...the translation performance of ... See full document
8
Studying Translationese at the Character Level
... Using words is natural in text analysis tasks like text categorization (by topic), authorship identi- fication and plagiarism detection. Perhaps sur- prisingly, recent results have proved that meth- ods handling the text ... See full document
6
Automatic Evaluation of Chinese Translation Output: Word Level or Character Level?
... Chinese translation output, and compare their cor- relation with human assessment when the Chinese translation output is segmented into words versus ...that character-level ... See full document
6
On the Importance of Word Boundaries in Character level Neural Machine Translation
... The translation problem is then modeled as a mapping between sequences of subword units in the source and target languages (Sennrich et ...the translation task in an end- to-end ...the level of ... See full document
7
A Character Level Machine Translation Approach for Normalization of SMS Abbreviations
... machine translation system trained at the charac- ter level during the first ...between character-level “phrases” and is much more robust to new abbreviations than a word-level ... See full document
9
Character level Chinese English Translation through ASCII Encoding
... higher level of granularity such as English and ...based character-level models, the number is only ...the character- level, for example, en2wb has 12 times fewer em- bedding parameters ... See full document
7
Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets
... of character-level SMT models when applied to sparse and noisy datasets such as crowdsourced movie ...where translation is often reduced to sub-word ...of character alignment on ... See full document
9
Combining Word Level and Character Level Models for Machine Translation Between Closely Related Languages
... Certainly, translation cannot be adequately mod- eled as simple transliteration, even for closely- related ...the edit-distance- based string operations usually modeled in translit- ...how ... See full document
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