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material ID: subwordinformation

Related Papers

A Systematic Study of Leveraging Subword Information for Learning Word Representations

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractThe use of subword-level information (e.g., characters, character n-grams, morphemes) has become ubiquitous in modern word representation learning. Its importance is attested especially for morphologically rich languages which generate a …...

22199

An Effective Approach to Unsupervised Machine Translation

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractWhile machine translation has traditionally relied on large amounts of parallel corpora, a recent research line has managed to train both Neural Machine Translation (NMT) and Statistical Machine Translation (SMT) …...

39945

On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractRecent work has validated the importance of subword information for word representation learning. Since subwords increase parameter sharing ability in neural models, their value should be even more pronounced in …...

41725

Low-Resource Unsupervised NMT: Diagnosing the Problem and Providing a Linguistically Motivated Solution

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractUnsupervised Machine Translation has been advancing our ability to translate without parallel data, but state-of-the-art methods assume an abundance of monolingual data. This paper investigates the scenario where monolingual data …...

3017

Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractCross-lingual word embeddings provide a way for information to be transferred between languages. In this paper we evaluate an extension of a joint training approach to learning cross-lingual embeddings that …...

25216

One Size Does Not Fit All: Finding the Optimal Subword Sizes for FastText Models across Languages

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractUnsupervised representation learning of words from large multilingual corpora is useful for downstream tasks such as word sense disambiguation, semantic text similarity, and information retrieval. The representation precision of log-bilinear …...

19615

Limitations and Challenges of Unsupervised Cross-lingual Pre-training

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractCross-lingual alignment methods for monolingual language representations have received notable attention in recent years. However, their use in machine translation pre-training remains scarce. This work tries to shed light on …...

29043