17 papers with code · Natural Language Processing
Subtask of Machine Translation


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Greatest papers with code

Neural Machine Translation of Rare Words with Subword Units

ACL 2016 facebookresearch/fairseq-py

Neural machine translation (NMT) models typically operate with a fixed vocabulary, but translation is an open-vocabulary problem.


Design Challenges in Named Entity Transliteration

COLING 2018 steveash/NETransliteration-COLING2018

We analyze some of the fundamental design challenges that impact the development of a multilingual state-of-the-art named entity transliteration system, including curating bilingual named entity datasets and evaluation of multiple transliteration methods.


Sequence-to-sequence neural network models for transliteration

29 Oct 2016google/transliteration

Transliteration is a key component of machine translation systems and software internationalization.


How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs

EACL 2017 rsennrich/lingeval97

Analysing translation quality in regards to specific linguistic phenomena has historically been difficult and time-consuming.


ANETAC: Arabic Named Entity Transliteration and Classification Dataset

6 Jul 2019MohamedHadjAmeur/ANETAC

The ANETAC dataset is mainly aimed for the researchers that are working on Arabic named entity transliteration, but it can also be used for named entity classification purposes.


Efficient Sequence Labeling with Actor-Critic Training

30 Sep 2018SaeedNajafi/ac-tagger

We set out to establish RNNs as an attractive alternative to CRFs for sequence labeling.


Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages

EMNLP 2018 shyamupa/hma-translit

Generating the English transliteration of a name written in a foreign script is an important and challenging step in multilingual knowledge acquisition and information extraction.


A Rule-based Kurdish Text Transliteration System

26 Nov 2018sinaahmadi/wergor

In this article, we present a rule-based approach for transliterating two mostly used orthographies in Sorani Kurdish.