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. 1902.00972
  4. Cited By
Universal Lemmatizer: A Sequence to Sequence Model for Lemmatizing
  Universal Dependencies Treebanks

Universal Lemmatizer: A Sequence to Sequence Model for Lemmatizing Universal Dependencies Treebanks

3 February 2019
Jenna Kanerva
Filip Ginter
T. Salakoski
ArXivPDFHTML

Papers citing "Universal Lemmatizer: A Sequence to Sequence Model for Lemmatizing Universal Dependencies Treebanks"

5 / 5 papers shown
Title
Context based lemmatizer for Polish language
Context based lemmatizer for Polish language
Michał Karwatowski
Marcin Pietroñ
11
1
0
23 Jul 2022
Quantitative Evaluation of Alternative Translations in a Corpus of
  Highly Dissimilar Finnish Paraphrases
Quantitative Evaluation of Alternative Translations in a Corpus of Highly Dissimilar Finnish Paraphrases
Li-Hsin Chang
S. Pyysalo
Jenna Kanerva
Filip Ginter
28
2
0
06 May 2021
Deep learning for sentence clustering in essay grading support
Deep learning for sentence clustering in essay grading support
Li-Hsin Chang
Iiro Rastas
S. Pyysalo
Filip Ginter
26
8
0
23 Apr 2021
OpenNMT: Open-Source Toolkit for Neural Machine Translation
OpenNMT: Open-Source Toolkit for Neural Machine Translation
Guillaume Klein
Yoon Kim
Yuntian Deng
Jean Senellart
Alexander M. Rush
273
1,896
0
10 Jan 2017
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,929
0
17 Aug 2015
1