ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.08117
  4. Cited By
A Hybrid Morpheme-Word Representation for Machine Translation of
  Morphologically Rich Languages

A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages

19 November 2019
Minh-Thang Luong
Preslav Nakov
Min-Yen Kan
    VLM
ArXiv (abs)PDFHTML

Papers citing "A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages"

6 / 6 papers shown
Title
Analyzing the Use of Character-Level Translation with Sparse and Noisy
  Datasets
Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets
Jörg Tiedemann
Preslav Nakov
81
23
0
27 Sep 2021
Towards Machine Translation for the Kurdish Language
Towards Machine Translation for the Kurdish Language
Sina Ahmadi
Mariam Masoud
49
13
0
12 Oct 2020
Using the Web as an Implicit Training Set: Application to Noun Compound
  Syntax and Semantics
Using the Web as an Implicit Training Set: Application to Noun Compound Syntax and Semantics
Preslav Nakov
NAI
46
4
0
23 Nov 2019
On the Linguistic Representational Power of Neural Machine Translation
  Models
On the Linguistic Representational Power of Neural Machine Translation Models
Yonatan Belinkov
Nadir Durrani
Fahim Dalvi
Hassan Sajjad
James R. Glass
MILM
107
72
0
01 Nov 2019
Subword ELMo
Subword ELMo
Jiangtong Li
Hai Zhao
Z. Li
Wei Bi
Xiaojiang Liu
20
1
0
18 Sep 2019
What do Neural Machine Translation Models Learn about Morphology?
What do Neural Machine Translation Models Learn about Morphology?
Yonatan Belinkov
Nadir Durrani
Fahim Dalvi
Hassan Sajjad
James R. Glass
140
415
0
11 Apr 2017
1