[PDF] Top 20 Language classification from bilingual word embedding graphs
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Language classification from bilingual word embedding graphs
... obtained from averaging the BBA and CCA distance matrices in the All21 setup, together with a k-means cluster assignment for k = ...genealogical/structural language classifications, we test another ... See full document
12
Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation
... three language pairs: French-English (Fr-En), German- English (De-En), and Japanese-English ...European language pairs. We used 30 million sentences from the WMT monolingual News Crawl datasets ... See full document
11
Recurrent Neural Network with Word Embedding for Complaint Classification
... The collection of complaints is clearly described in negative sense. Hence, sentiment analysis ap- proaches will not work efficiently for this task, especially for the methods which rely on the counts of positive and ... See full document
8
Dependency Parsing of Code Switching Data with Cross Lingual Feature Representations
... A recent multilingual parsing experiment, the CoNLL 2017 shared task, has ad- dressed dependency parsing for low-resource languages using a multilingual approach (Zeman et al., 2017). The main approach was cross-lingual ... See full document
17
On the Limitations of Unsupervised Bilingual Dictionary Induction
... the graphs are not isomorphic; see Figure ...that word embeddings are not approximately isomor- phic across ...bor graphs are not isomorphic, even for frequent translation pairs in neighboring ... See full document
11
Using Graphs for Word Embedding with Enhanced Semantic Relations
... a word embedding algorithm with semantic ...proposed embedding did not achieve the best results on analogy and classification tasks but was stable across the datasets and in most cases was ... See full document
10
Learning Sentiment Specific Word Embedding for Twitter Sentiment Classification
... a word as features has been proving effective in a variety of NLP tasks, such as parsing (Socher et ...2013a), language modeling (Bengio et ...the word embedding by Laten- t Semantic Analysis ... See full document
11
Learning Indonesian Chinese Lexicon with Bilingual Word Embedding Models and Monolingual Signals
... Indonesian-Chinese bilingual lexicon using monolingual word embedding and bilingual seed lexicons to build shared bilingual word embedding ...improve bilingual ... See full document
6
Bilingual Word Embeddings for Bilingual Terminology Extraction from Specialized Comparable Corpora
... extraction from comparable cor- pora has shown substantial growth since the sem- inal work of Fung (1995) and Rapp ...for language pairs not involving ... See full document
9
Neural Cross Lingual Relation Extraction Based on Bilingual Word Embedding Mapping
... and language-specific resources to achieve high accuracy, it is very challenging to transfer an RE model of a resource-rich language to a resource-poor lan- ...on bilingual word ... See full document
11
Using Word Embedding for Cross Language Plagiarism Detection
... Regardless of their capacity to predict a (mis)match, an interesting feature of the methods is their clustering capacity, i.e. their ability to correctly separate the positives (similar units) and the negatives ... See full document
7
Extending Bilingual WordNet via Hierarchical Word Translation Classification
... Many words (e.g., plant) have different senses in different contexts (e.g., green plant and nuclear plant), usually leading to different translations in another language (e.g., 植物 and 工廠 respectively). On the ... See full document
10
Bilingual Word Embeddings from Parallel and Non parallel Corpora for Cross Language Text Classification
... use word-aligned parallel corpus as offline alignment (Mikolov et ...use word-alignment parallel corpus and consider poly- semy perform computationally expensive operation of considering all possible ... See full document
11
Normalized Word Embedding and Orthogonal Transform for Bilingual Word Translation
... on bilingual word ...English-Spanish word pairs are used to train and test the bilingual transform in the way of cross valida- ...target language; the vocabulary coverage is ... See full document
6
Learning Bilingual Sentiment Word Embeddings for Cross language Sentiment Classification
... Bilingual embedding learning algorithms focus on capturing syntactic and semantic similarities across languages, but ignore sentiment informa- ...many embedding learning algo- rithms have been ... See full document
11
Comparing Fifty Natural Languages and Twelve Genetic Languages Using Word Embedding Language Divergence (WELD) as a Quantitative Measure of Language Distance
... on word embedding, called word embedding language divergence ...perform language comparison for fifty nat- ural languages and twelve genetic ...natural language dataset is ... See full document
10
Density Matching for Bilingual Word Embedding
... for bilingual embeddings is in bilingual lexicon induction, where the em- beddings are used to select the most likely trans- lation in the other language given these embed- ...selects word or ... See full document
11
Application of Word Embedding to Drug Repositioning
... Besides too general names like “drug::enzyme” and “drug::amide”, it is notable that the above list includes approved anti-cancer drugs (e.g. “drug::denosumab”), anti-cancer drugs under investigation (e.g. “drug:: cla- ... See full document
10
Word-finding Difficulties in Bilingual Aphasia : Implications for Speech Language Therapy
... Copyright and reuse: City Research Online aims to make research outputs of City, University of London available to a wider audience. Copyright and Moral Rights remain with the author(s) and/or copyright holders. URLs ... See full document
291
Together We Can: Bilingual Bootstrapping for WSD
... id from the ...mous word in L 2 (or L 1 respectively) the corre- sponding cross-linked word in L 1 (or L 2 respec- tively) need not necessarily be ...polysemous word in L 2 (or L 1 ... See full document
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