[PDF] Top 20 Learning Bilingual Word Representations by Marginalizing Alignments
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Learning Bilingual Word Representations by Marginalizing Alignments
... learn word representations for both languages, a translation matrix relating these vec- tor spaces, as well as alignments at the same ...next word—this is simply the distributed extension of ... See full document
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A Strong Baseline for Learning Cross Lingual Word Embeddings from Sentence Alignments
... Algorithms that rely on sentence-aligned data typically create intermediate sentence representa- tions from each sentence’s constituent words. Her- mann and Blunsom (2014) proposed a deep neural model, BiCVM, which ... See full document
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Multi Modal Representations for Improved Bilingual Lexicon Learning
... for learning the mapping W in M-EMB: starting from the BNC word fre- quency list (Kilgarriff, 1997), the 6, 318 most fre- quent EN words were translated to the three other languages using Google ...global ... See full document
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On the Role of Seed Lexicons in Learning Bilingual Word Embeddings
... shared bilingual word embedding space (SBWES) is an indispensable resource in a variety of cross-language NLP and IR ...seed word lexicon used in the learning pro- ...gual word ... See full document
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Sparse Bilingual Word Representations for Cross lingual Lexical Entailment
... for learning representations that cap- ture context of words in two different languages in the ...requires bilingual repre- sentations to capture both the full range of word con- texts ... See full document
11
Bilingual Word Representations with Monolingual Quality in Mind
... of learning representations of high quality both bilin- gually and monolingually is achievable through a joint learning ...a bilingual constraint consistent with monolingual components in our ... See full document
9
Learning Crosslingual Word Embeddings without Bilingual Corpora
... use bilingual compara- ble text, sourced from ...for learning vector representations using ...a bilingual lexicon induction task (we com- pare our method with theirs on this ...comparable ... See full document
11
Learning Monolingual Compositional Representations via Bilingual Supervision
... representation learning methods for distributional word representations (Baroni et ...These representations offer the promise of capturing phrasal or sentential se- mantics in a general ... See full document
7
Learning Bilingual Word Embeddings Using Lexical Definitions
... to learning bilingual word em- beddings often rely on word or sentence align- ment (Ruder et ...the representations of corresponding sentence components to be simi- ...of ... See full document
6
Bilingual Embeddings and Word Alignments for Translation Quality Estimation
... of bilingual distributed representations combined with word alignment in- formation to boost the performance of transla- tion quality ...the bilingual distributed representation model, ... See full document
8
Bilingual Lexicon Induction by Learning to Combine Word Level and Character Level Representations
... BLI Bilingual lex- icon induction is traditionally based on word-level features, aiming at quantifying cross-lingual word similarity on the basis of either (1) context vec- tors, or (2) automatically ... See full document
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Word Ordering as Unsupervised Learning Towards Syntactically Plausible Word Representations
... the Word Or- dering Network (WON) that explicitly learns to recover correct word orders while implicitly ac- quiring word embeddings representing syntactic ...the word ordering task can be an ... See full document
10
A Correction Model for Word Alignments
... for word alignment, appearing, for instance, in IBM Models ...target word to be linked to more than one source word, so some phrasal align- ments are simply not ...disallowed alignments - for ... See full document
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Whitepaper for Shared Task on Learning Reordering from Word Alignments at RSMT 2012
... • Reordering without a parser: Some recent work has focussed on reordering without a parser. Examples are the word reordering models in Visweswariah et al. (2011) and Tromble et al. (2009). DeNero and Uszkoreit ... See full document
8
A Deep Architecture for Semantic Parsing
... The ubiquity of always-online computers in the form of smartphones, tablets, and notebooks has boosted the demand for effective question answer- ing systems. This is exemplified by the grow- ing popularity of products ... See full document
6
Is Word Segmentation Necessary for Deep Learning of Chinese Representations?
... state-of-the-art word segmenta- tion performance is far from perfect, the errors of which would bias downstream NLP ...because word boundary of Chinese words is usually quite ...benefit word ... See full document
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Learning Chinese Word Representations From Glyphs Of Characters
... of word representation is built upon the distributional hypothesis, that is, words with similar contexts share similar mean- ...and word representations are produced from the co- occurrence ... See full document
10
Learning Word Representations with Regularization from Prior Knowledge
... For retrofitting, Table 2 shows that our approach demonstrates its effectiveness for enhancing ini- tial embeddings with prior knowledge. It performs consistently better than all other approaches in a wide range of ... See full document
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Report of the Shared Task on Learning Reordering from Word Alignments at RSMT 2012
... LRscore was introduced a couple of years ago as a metric to directly measure reordering performance. LRscore uses a distance score in conjunction with BLEU to help evaluate the word order of MT outputs better. ... See full document
8
Learning Word Representations from Relational Graphs
... better word representations by considering the semantic relations that exist among words? More importantly whether word rep- resentations learnt by considering the semantic relations among words ... See full document
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