[PDF] Top 20 Unsupervised Joint Training of Bilingual Word Embeddings
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Unsupervised Joint Training of Bilingual Word Embeddings
... for unsupervised bilingual word embeddings (BWE) train a mapping function that maps pre-trained mono- lingual word embeddings into a bilingual ...original word ... See full document
7
Simple task specific bilingual word embeddings
... off-the-shelf word embedding algorithms to learn task-specific bilingual word em- ...task-specific word equiva- lence classes to produce mixed context-target pairs that we use to train ... See full document
5
Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation
... Recently, several UBWE methods (Conneau et al., 2018; Artetxe et al., 2018a) have been applied to UNMT (Artetxe et al., 2018c; Lample et al., 2018a). These rely solely on monolingual corpora in each language via UBWE ... See full document
11
A Multi task Learning Approach to Adapting Bilingual Word Embeddings for Cross lingual Named Entity Recognition
... adapt bilingual word em- beddings (BWE’s) to bootstrap a cross- lingual name-entity recognition (NER) system in a language with no labeled ...trains bilingual word embeddings while ... See full document
6
What Matters for Neural Cross Lingual Named Entity Recognition: An Empirical Analysis
... gual embeddings (Ni et ...the word and phrase level via applica- tion of bilingual ...dictionaries. Bilingual embed- dings are a form of bilingual dictionaries; they constitute a ... See full document
7
Unsupervised POS Induction with Word Embeddings
... the training sections of the CoNLL-X shared task (Buchholz and Marsi, 2006) (for Danish and Turkish), the CoNLL 2007 shared task (Nivre et ...word2vec) embeddings with a context window size = 1 and with ... See full document
6
On the Role of Seed Lexicons in Learning Bilingual Word Embeddings
... monolingual training sets tied together through a bilingual signal, (P2) use as inexpensive bilingual signal as possible in order to learn a SBWES in a scalable and widely applicable manner across ... See full document
11
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 ... See full document
6
Evaluation methods for unsupervised word embeddings
... predict word frequency categories based on word ...the training sets to ensure a consistent balance of the label distribution across all ...during training (Turian et ...All word ... See full document
10
Unsupervised Morphology Induction Using Word Embeddings
... the word-similarity task using the same Stanford Rare-Word (RW) dataset for EN and RG dataset for DE, compared against the setup using only 1-2 bil- lion training ... See full document
11
Learning Crosslingual Word Embeddings without Bilingual Corpora
... during training to learn bilingual cor- respondences from monolingual ...and bilingual properties of ...monolingual word similarity and crosslingual doc- ument classification ...during ... See full document
11
A Distribution based Model to Learn Bilingual Word Embeddings
... learn bilingual word embeddings from monolingual ...that word embeddings are usually in form of dense real-valued low- dimensional vector and therefore the distribution of them can be ... See full document
10
Bilingual Embeddings and Word Alignments for Translation Quality Estimation
... with training data (called “QEcorpus” in Section 5) consisting of 12k training segments and 1k de- velopment segments machine-translated and man- ually ... See full document
8
Learning Bilingual Word Embeddings Using Lexical Definitions
... extracts bilingual strong word pairs from bilingual lexi- cal definitions of which the words contribute to the cross-lingual definitions of each ...induced word pairs, which utilize ... See full document
6
On the Limitations of Unsupervised Bilingual Dictionary Induction
... Word embeddings are particularly good at cap- turing relations between nouns, but even if we con- sider the top k most frequent English nouns and their translations, the graphs are not isomorphic; see ... See full document
11
Unsupervised Word Sense Disambiguation Using Bilingual Comparable Corpora
... We evaluated our method through an experiment using corpora of English and Japanese newspaper articles. The first language was English and the second lan- guage was Japanese. A Wall Street Journal corpus (July, 1994 to ... See full document
7
Using Word Embeddings for Bilingual Unsupervised WSD
... Unsupervised Word Sense Disambigua- tion (WSD) is one of the challenging prob- lems in natural language ...an unsupervised bilingual WSD ap- proach has been ...of Word Embeddings ... See full document
6
Injecting Word Embeddings with Another Language’s Resource : An Application of Bilingual Embeddings
... Various methods have been proposed to 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 ... See full document
6
Multilingual Training of Crosslingual Word Embeddings
... well. Joint training performs bet- ter especially for the it→de ...The joint model with explicit mapping is generally our best model, even better than the base bilingual model from Duong et ... See full document
11
Bilingual Word Embeddings for Bilingual Terminology Extraction from Specialized Comparable Corpora
... for bilingual terminology extraction from special- ized comparable ...of bilingual terms ex- ...ing word embeddings and the multiple proposed variants to specialized domains as well as to ... See full document
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