method ID: sentencepiece

Related Papers

Evaluating the Impact of Sub-word Information and Cross-lingual Word Embeddings on Mi’kmaq Language Modelling

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractMi’kmaq is an Indigenous language spoken primarily in Eastern Canada. It is polysynthetic and low-resource. In this paper we consider a range of n-gram and RNN language models for Mi’kmaq. …...

14976

SiBert: Enhanced Chinese Pre-trained Language Model with Sentence Insertion

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractPre-trained models have achieved great success in learning unsupervised language representations by self-supervised tasks on large-scale corpora. Recent studies mainly focus on how to fine-tune different downstream tasks from a …...

15069

Transformers for Low-Resource Languages: Is Féidir Linn!

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractThe Transformer model is the state-of-the-art in Machine Translation. However and in general and neural translation models often under perform on language pairs with insufficient training data. As a consequence …...

18382

MaxMatch-Dropout: Subword Regularization for WordPiece

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractWe present a subword regularization method for WordPiece, which uses a maximum matching algorithm for tokenization. The proposed method, MaxMatch-Dropout, randomly drops words in a search using the maximum matching …...

4795