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Survey on the Use of Typological Information in Natural Language Processing ...
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182 |
Automatic Selection of Context Configurations for Improved Class-Specific Word Representations ...
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183 |
HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment ...
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184 |
Bilingual Distributed Word Representations from Document-Aligned Comparable Data ...
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Abstract:
We propose a new model for learning bilingual word representations from non-parallel document-aligned data. Following the recent advances in word representation learning, our model learns dense real-valued word vectors, that is, bilingual word embeddings (BWEs). Unlike prior work on inducing BWEs which heavily relied on parallel sentence-aligned corpora and/or readily available translation resources such as dictionaries, the article reveals that BWEs may be learned solely on the basis of document-aligned comparable data without any additional lexical resources nor syntactic information. We present a comparison of our approach with previous state-of-the-art models for learning bilingual word representations from comparable data that rely on the framework of multilingual probabilistic topic modeling (MuPTM), as well as with distributional local context-counting models. We demonstrate the utility of the induced BWEs in two semantic tasks: (1) bilingual lexicon extraction, (2) suggesting word translations in ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/1509.07308 https://dx.doi.org/10.48550/arxiv.1509.07308
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186 |
TermWise: Leveraging Big Data for Terminological Support in Legal Translation
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In: Terminology and Knowledge Engineering, TKE 2014 ; Terminology and Knowledge Engineering 2014 ; https://hal.archives-ouvertes.fr/hal-01005842 ; Terminology and Knowledge Engineering 2014, Jun 2014, Berlin, Germany. 10 p (2014)
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