[PDF] Top 20 A Distribution based Model to Learn Bilingual Word Embeddings
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A Distribution based Model to Learn Bilingual Word Embeddings
... made based on data representations that cannot discriminate the source and target ...domains. Based on this theory, very simple and efficient domain adaptation approaches have been developed (Ajakan et ... See full document
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Learning Bilingual Sentiment Word Embeddings for Cross language Sentiment Classification
... CLSC model by combining co-training and trans- fer learning ...approach learn- s language-specific classifiers in each view dur- ing training process, which is difficult to capture the common sentiment ... See full document
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Using bilingual word embeddings for multilingual collocation extraction
... This paper presents a new strategy for multilingual collocation extraction which takes advantage of parallel corpora to learn bilingual word-embeddings. Monolingual collocation candidates are ... See full document
10
Learning Crosslingual Word Embeddings without Bilingual Corpora
... framework based on a large noisy dictionary. We model polysemy using EM transla- tion selection during training to learn bilingual cor- respondences from monolingual ...and bilingual ... See full document
11
On the Role of Seed Lexicons in Learning Bilingual Word Embeddings
... seed bilingual lexicons in learn- ing bilingual word embeddings (BWEs) which are valuable for many cross-lingual/multilingual NLP ...hybrid bilingual word embed- ding ... See full document
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Learning Bilingual Word Embeddings Using Lexical Definitions
... query word by retrieving its k near- est neighbours in the target language, and report P @k (k = 1, 5) to represent the fraction of cor- rect translations that are ranked not larger than ...tuned based on a ... See full document
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Bilingual Word Embeddings for Bilingual Terminology Extraction from Specialized Comparable Corpora
... of bilingual lexicon ex- traction from specialized comparable ...space model capture many linguis- tic regularities and key aspects of ...words. Based on these findings, we pursue the preceding works ... See full document
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Bilingual Embeddings and Word Alignments for Translation Quality Estimation
... representations can use the vector space very dif- ferently. Therefore, measuring similarity between words in different languages will be difficult be- cause even similar words would likely have very different ... See full document
8
Context Dependent Sense Embedding
... Skip-gram model, CBOW model and GloVe model (Mikolov et ...train word embeddings with a large scale ...work based on neural network mod- els to obtain word embedding ... See full document
9
Shared Private Bilingual Word Embeddings for Neural Machine Translation
... the model parameters for representation learn- ...shared-private bilingual word em- beddings, which give a closer relationship be- tween the source and target embeddings, and which also ... See full document
10
Bilingual Word Embeddings from Non Parallel Document Aligned Data Applied to Bilingual Lexicon Induction
... to learn embeddings for words denoting similar con- cepts that are very close in the shared inter-lingual embedding space ...English word school and the Spanish word es- cuela should be very ... See full document
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Beyond Bilingual: Multi sense Word Embeddings using Multilingual Context
... non-parametric word representation learning algorithm which leverages multilingual distributional ...(not bilingual) approach, allowing us to utilize arbitrarily many languages to disam- biguate words in ... See full document
10
Learning to Respond to Mixed code Queries using Bilingual Word Embeddings
... a bilingual word embedding beforehand, (ii) searching for similar L2 words for L1 keyword in the embed- ding space, (iii) convert and expanding the mixed- code query for retrieving relevant phrases and sen- ... See full document
5
Whom to Learn From? Graph- vs. Text-based Word Embeddings
... The motivation for these two families of lexical representation is to be found in their different suit- ability and success in explaining a wide range of empirical phenomena, in terms of how these are manifest in ... See full document
11
Cross Lingual Word Embeddings and the Structure of the Human Bilingual Lexicon
... trained word embeddings for English and Italian (Bojanowski et ...Skip-gram model. Every word is represented as an n-grams of characters, for n training between 3 and ...adversarial ... See full document
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Learning Sense specific Word Embeddings By Exploiting Bilingual Resources
... learning word embeddings (Bengio et ...each word with a single embedding, which ignores ...a word, several multi-prototype models have been proposed (Reisinger and Mooney, 2010; Huang et ... See full document
11
Bilingual Word Embeddings with Bucketed CNN for Parallel Sentence Extraction
... Parallel bilingual corpora are very crucial for building natural language processing systems, in- cluding machine translation, word disambigua- tion, and cross-language information ...surface based ... See full document
6
Injecting Word Embeddings with Another Language’s Resource : An Application of Bilingual Embeddings
... generate bilingual embeddings. One class of methods learn mappings to transform words from one monolin- gual model to another, using some form of dic- tionary (Mikolov et ...using word ... See full document
6
En Ar Bilingual Word Embeddings without Word Alignment: Factors Effects
... at word-level alignment, Luong et al. (2015a) extend the skip-gram model to learn effi- cient bilingual word ...(BRAE) model learns source-target phrase embeddings by ... See full document
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Bilingual Word Embeddings for Phrase Based Machine Translation
... Bilingual word representations have been ex- plored with hand-designed vector space mod- els (Peirsman and Pad´o , 2010; Sumita, 2000), and with unsupervised algorithms such as LDA and LSA (Boyd-Graber and ... See full document
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