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Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese ...
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On the Difficulty of Translating Free-Order Case-Marking Languages ...
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UDapter: Language Adaptation for Truly Universal Dependency Parsing ...
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Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural Networks ...
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Abstract:
It is now established that modern neural language models can be successfully trained on multiple languages simultaneously without changes to the underlying architecture. But what kind of knowledge is really shared among languages within these models? Does multilingual training mostly lead to an alignment of the lexical representation spaces or does it also enable the sharing of purely grammatical knowledge? In this paper we dissect different forms of cross-lingual transfer and look for its most determining factors, using a variety of models and probing tasks. We find that exposing our LMs to a related language does not always increase grammatical knowledge in the target language, and that optimal conditions for lexical-semantic transfer may not be optimal for syntactic transfer. ... : v3: Submitted to NaDaLiDa 2021. 9 pages, two columns and with 6 figures and 1 table ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://arxiv.org/abs/2003.14056 https://dx.doi.org/10.48550/arxiv.2003.14056
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Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations ...
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Neural versus Phrase-Based Machine Translation Quality: a Case Study ...
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A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena ...
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