[PDF] Top 20 Noisy Parallel Corpus Filtering through Projected Word Embeddings
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Noisy Parallel Corpus Filtering through Projected Word Embeddings
... the parallel data available for the English-Sinhala and English- Nepali pairs (summarized in Table 1) and the En- glish Wikipedia dump which contains about 2 bil- lion ...the noisy evaluation data (see ... See full document
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Dual Conditional Cross-Entropy Filtering of Noisy Parallel Corpora
... Participants submit files with numerical scores, one score per line of the original unfiltered parallel cor- pus. A tool provided by the organizers takes as in- put the scores and the German and English ... See full document
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Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low Resource Conditions
... used word and sentence embeddings. Given cross- lingual word embeddings, sentence match scores based on the difference between the average of the word embeddings (Paetzold, ... See full document
19
Filtering of Noisy Parallel Corpora Based on Hypothesis Generation
... “Parallel Corpus Filtering for Low- Resource Conditions” 1 tackles the problem of cleaning noisy parallel corpora for low-resourced language ...a noisy parallel ... See full document
7
An Unsupervised System for Parallel Corpus Filtering
... Monolingual Document Similarity The input corpus contains redundant sentences, i.e., sen- tences which have similar structure and meaning, and which are often generated based on predefined sentence templates. It ... See full document
6
Tilde’s Parallel Corpus Filtering Methods for WMT 2018
... describes parallel corpus filtering methods that allow reducing noise of noisy “parallel” corpora from a level where the cor- pora are not usable for neural machine trans- lation ... See full document
7
NRC Parallel Corpus Filtering System for WMT 2019
... on parallel corpus filter- ing was essentially the same as last year’s edi- tion (Koehn et ...a noisy corpus crawled from the web using ParaCrawl (Koehn et ...of parallel data, covering ... See full document
9
Alibaba Submission to the WMT18 Parallel Corpus Filtering Task
... First of all, we apply all the bilingual and mono- lingual rules to filter very noisy sentence pairs. Then, two bilingual scores and target side lan- guage model score could be produced by the above corresponding ... See full document
6
NICT’s Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task
... very noisy 1 bil- lion words (English word count) German-English (De-En) corpus crawled from the web as a part of the Paracrawl ...the noisy data to filter ... See full document
5
Low Resource Corpus Filtering Using Multilingual Sentence Embeddings
... and word trans- lation scores, with weights optimized to separate clean and synthetic noise ...clean parallel data was used to train this ...the parallel data and trains a classifier to learn how to ... See full document
6
Building a Monolingual Parallel Corpus for Text Simplification Using Sentence Similarity Based on Alignment between Word Embeddings
... false word alignments such as “as, genus,” “tree, is,” and “com- monly, kauri” are found because of the restriction of one-to-one word alignment on the ...correct word alignments such as “genus, ... See full document
12
Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron
... lel corpus filtering task (Koehn et ...very noisy, web-crawled corpus of 104M parallel lines (ParaCrawl ...raw corpus with the heuristics of Rossen- bach et ... See full document
11
Fast Query Expansion on an Accounting Corpus using Sub Word Embeddings
... We present early results from a system un- der development which uses sub-word em- beddings for query expansion in the pres- ence of mis-spelled words and other aberra- tions. We work for a company which cre- ates ... See full document
5
Parallel Corpus Filtering Based on Fuzzy String Matching
... each parallel sentence from a given noisy par- allel ...high-quality parallel sentences sub-sampled from the orig- inal noisy ...each parallel corpus, and train SMT systems for ... See full document
5
Word2Sense: Sparse Interpretable Word Embeddings
... existing embeddings to interpretable ...the word-word co-occurrence matrix to derive interpretable word ...Overcomplete Word Vectors (SP OW V ), by solving an optimization problem in ... See full document
14
Searching for the X Factor: Exploring Corpus Subjectivity for Word Embeddings
... within word embeddings than sentiment classification, as de- termining whether a sentence is subjective or ob- jective should ideally be an objective ... See full document
10
Dual Monolingual Cross Entropy Delta Filtering of Noisy Parallel Data
... Both the relaxation of the dual conditional cross- entropy filter and our replacement of the cross- entropy difference filter are based on Cynical data selection (Axelrod, 2017), described below. The Moore-Lewis ... See full document
7
Margin based Parallel Corpus Mining with Multilingual Sentence Embeddings
... Machine translation is highly sensitive to the size and quality of the training data, which has led to an increasing interest in collect- ing and filtering large parallel corpora. In this paper, we propose ... See full document
7
Bilingual Word Embeddings with Bucketed CNN for Parallel Sentence Extraction
... translation, word disambigua- tion, and cross-language information ...of parallel data for training purposes (Brown et ...two parallel mono- lingual corpora is used for getting the parallel ... See full document
6
Handling Named Entities and Compound Verbs in Phrase Based Statistical Machine Translation
... Venkatapathy and Joshi (2006) reported a dis- criminative approach of using the compositional- ity information about verb-based multi-word expressions to improve word alignment quality. (Ren et al., 2009) ... See full document
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