[PDF] Top 20 Adversarial Training for Unsupervised Bilingual Lexicon Induction
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Adversarial Training for Unsupervised Bilingual Lexicon Induction
... The unidirectional transformation model attains reasonable accuracy if trained successfully, but it is rather sensitive to hyperparameters and initial- ization. This training difficulty motivates our or- thogonal ... See full document
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Supervised Bilingual Lexicon Induction with Multiple Monolingual Signals
... an unsupervised learn- ing ...seed bilingual lexicon, this work is the first to use that data for super- vised learning to combine a diverse set of sig- nals derived from a pair of monolingual cor- ... See full document
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Bilingual Lexicon Induction by Learning to Combine Word Level and Character Level Representations
... of training translation pairs. The approach out- performs an unsupervised combination of signals based on a mean reciprocal rank aggregation, as well as the matching canonical correlation analysis algorithm ... See full document
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Learning Crosslingual Word Embeddings without Bilingual Corpora
... multilingual training signal based on dictio- nary ...on bilingual lexicon induction task, large improvement over word similarity task compared with previous published crosslingual word ... See full document
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Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs
... We proposed two novel methods for learning mul- tilingual word embeddings (MWEs) without any cross-lingual supervision. The better-performing incremental hub space model (IHS) is the first un- supervised MWE method that ... See full document
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Hubless Nearest Neighbor Search for Bilingual Lexicon Induction
... We now compare the different methods on real BLI tasks. We follow the setup in (Conneau et al., 2018). The word embeddings and groundtruth dictionaries (for both training and testing) can be downloaded from the ... See full document
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Modelling the Lexicon in Unsupervised Part of Speech Induction
... Table 1 compares the M-1 accuracies of both the PYP-HMM and the Lex-HMM models on the Penn. Treebank Wall Street Journal corpus. Blun- som and Cohn (2011) found that the Local PYP- HMM+LM sampler is unable to mix, ... See full document
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Unsupervised Learning of Bilingual Categories in Inversion Transduction Grammar Induction
... rating unsupervised bilingual nonterminal cat- egory learning within end-to-end fully unsu- pervised transduction grammar induction using matched training and testing ...such induction ... See full document
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Revisiting Adversarial Autoencoder for Unsupervised Word Translation with Cycle Consistency and Improved Training
... ping in a purely unsupervised way. This was first proposed by Miceli Barone (2016), who initially used an adversarial network similar to Conneau et al. (2018), and found that the mapper (which is also the ... See full document
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Learning bilingual word embeddings with (almost) no bilingual data
... learn bilingual embeddings without any bilingual ...uses adversarial autoencoders (Makhzani et ...the training of word embeddings that pushes the mean and variance of each dimen- sion in ... See full document
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Weakly Supervised Concept based Adversarial Learning for Cross lingual Word Embeddings
... the adversarial training and achieve good per- formance on bilingual lexicon ...their training data are small, and the performance of their models drops significantly when they use ... See full document
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Unsupervised Joint Training of Bilingual Word Embeddings
... for training BWE are so-called mapping methods (Mikolov et ...small bilingual lexicon for supervision. Re- cently, unsupervised mapping for BWE (Artetxe et ...created bilingual re- ... See full document
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Adaptive String Distance Measures for Bilingual Dialect Lexicon Induction
... a training bilingual lexicon altogether and used other resources for the training step ...German lexicon. In doing this, we assume that the structure of the lexicon informs us ... See full document
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Unsupervised Induction of Ukrainian Morphological Paradigms for the New Lexicon: Extending Coverage for Named Entities and Neologisms using Inflection Tables and Unannotated Corpora
... Detailed overviews of different approaches to developing morphological lexicons can be found in (Ahlberg et al., 2015), (Koskenniemi et al., 2018) and (Fam and Lepage, 2018). For our purposes the existing approaches can ... See full document
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Bilingual Lexicon Induction with Semi supervision in Non Isometric Embedding Spaces
... MUSE (U/S/IR): Lample et al. (2018) pro- posed two models: MUSE(U) and MUSE(S) for unsupervised and supervised BLI respectively. MUSE(U) uses a GAN based distribution match- ing followed by iterative Procrustes ... See full document
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On the Limitations of Unsupervised Bilingual Dictionary Induction
... and Y . 2) Adversarial mapping: A translation matrix W is learned between the spaces X and Y using adversarial techniques (Ganin et al., 2016). A discriminator is trained to discriminate samples from the ... See full document
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Bilingual Word Embeddings from Non Parallel Document Aligned Data Applied to Bilingual Lexicon Induction
... induce bilingual word embeddings: (i) a collec- tion of 13, 696 Spanish-English Wikipedia article pairs (ES-EN), (ii) a collection of 18, 898 Italian- English Wikipedia article pairs (IT-EN), and (iii) a ... See full document
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Unsupervised Bilingual Lexicon Induction from Mono-Lingual Multimodal Data
... for bilingual lexicon induction: text-based and vision- based ...induce bilingual lexicon with fewer ...seed lexicon as the start- point to train the bilingual ...an ... See full document
8
Bilingual Lexicon Induction through Unsupervised Machine Translation
... We believe that, beyond the substantial gains in this particular task, our work has important implications for future research in cross-lingual word embedding mappings. While most work in this topic uses BLI as the only ... See full document
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MAAM: A Morphology Aware Alignment Model for Unsupervised Bilingual Lexicon Induction
... However, we find that additional grammatical information can help alleviate the adverse effect of morphological variation. In detail, since lexi- con induction (word alignment) can be regarded as word-to-word ... See full document
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