conftrace_
← Resources & Methods
Natural Language Processing › Resources & Methods ›

Multilingual NLP

4,621 papers

Papers per year

1
338
1103
'00
'20
'25

Papers

Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgrouping EMNLP 2020
One of these words is not like the other: a reproduction of outlier identification using non-contextual word representations EMNLP 2020
GGPONC: A Corpus of German Medical Text with Rich Metadata Based on Clinical Practice Guidelines EMNLP 2020
Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only EMNLP 2020
A Multilingual Neural Machine Translation Model for Biomedical Data EMNLP 2020
ARBML: Democratizing Arabic Natural Language Processing Tools EMNLP 2020
fugashi, a Tool for Tokenizing Japanese in Python EMNLP 2020
iNLTK: Natural Language Toolkit for Indic Languages EMNLP 2020
KLPT – Kurdish Language Processing Toolkit EMNLP 2020
Open Korean Corpora: A Practical Report EMNLP 2020
Load What You Need: Smaller Versions of Mutililingual BERT EMNLP 2020
Findings of the 2020 Conference on Machine Translation (WMT20) EMNLP 2020
Facebook AI’s WMT20 News Translation Task Submission EMNLP 2020
Machine Translation for English–Inuktitut with Segmentation, Data Acquisition and Pre-Training EMNLP 2020
Translating Similar Languages: Role of Mutual Intelligibility in Multilingual Transformers EMNLP 2020
Neural Machine Translation for Similar Languages: The Case of Indo-Aryan Languages EMNLP 2020
Neural Machine Translation between similar South-Slavic languages EMNLP 2020
Multilingual Neural Machine Translation: Case-study for Catalan, Spanish and Portuguese Romance Languages EMNLP 2020
Complete Multilingual Neural Machine Translation EMNLP 2020
Document-aligned Japanese-English Conversation Parallel Corpus EMNLP 2020
The ADAPT’s Submissions to the WMT20 Biomedical Translation Task EMNLP 2020
Machine Translation Reference-less Evaluation using YiSi-2 with Bilingual Mappings of Massive Multilingual Language Model EMNLP 2020
An exploratory approach to the Parallel Corpus Filtering shared task WMT20 EMNLP 2020
Improving Parallel Data Identification using Iteratively Refined Sentence Alignments and Bilingual Mappings of Pre-trained Language Models EMNLP 2020
Alibaba Submission to the WMT20 Parallel Corpus Filtering Task EMNLP 2020