From Characters to Words to in Between: Do We Capture Morphology?

26 April 2017

Papers citing "From Characters to Words to in Between: Do We Capture Morphology?"

17 / 17 papers shown

Title
What is the best recipe for character-level encoder-only modelling? Kris Cao 42 2 0 09 May 2023
Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation Soyoung Yoon Sungjoon Park Gyuwan Kim Junhee Cho K. Park Gyutae Kim Minjoon Seo Alice Oh 23 14 0 25 Oct 2022
The boundaries of meaning: a case study in neural machine translation Yuri Balashov 21 2 0 02 Oct 2022
BERT Cannot Align Characters Antonis Maronikolakis Philipp Dufter Hinrich Schütze 25 0 0 20 Sep 2021
How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology? Chantal Amrhein Rico Sennrich 27 13 0 02 Sep 2021
CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation J. Clark Dan Garrette Iulia Turc John Wieting 36 210 0 11 Mar 2021
Morphology Matters: A Multilingual Language Modeling Analysis Hyunji Hayley Park Katherine J. Zhang Coleman Haley K. Steimel Han Liu Lane Schwartz 53 47 0 11 Dec 2020
Tackling the Low-resource Challenge for Canonical Segmentation Manuel Mager Ozlem cCetinouglu Katharina Kann 29 21 0 06 Oct 2020
From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of Parsing Morphologically-Rich Languages (MRLs)? Reut Tsarfaty Dan Bareket Stav Klein Amit Seker 16 39 0 04 May 2020
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages J. Clark Eunsol Choi Michael Collins Dan Garrette Tom Kwiatkowski Vitaly Nikolaev J. Palomaki 61 592 0 10 Mar 2020
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity Ivan Vulić Simon Baker Edoardo Ponti Ulla Petti Ira Leviant ... Eden Bar Matt Malone Thierry Poibeau Roi Reichart Anna Korhonen 21 82 0 10 Mar 2020
A Latent Morphology Model for Open-Vocabulary Neural Machine Translation Duygu Ataman Wilker Aziz Alexandra Birch 27 16 0 30 Oct 2019
Maybe Deep Neural Networks are the Best Choice for Modeling Source Code Rafael-Michael Karampatsis Charles Sutton 23 54 0 13 Mar 2019
Challenges of language technologies for the indigenous languages of the Americas Manuel Mager Ximena Gutierrez-Vasques Gerardo E Sierra Ivan Vladimir Meza Ruiz VLM 200 88 0 12 Jun 2018
Character-Level Models versus Morphology in Semantic Role Labeling Gözde Gül Sahin Mark Steedman 24 17 0 30 May 2018
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones Z. Assylbekov Rustem Takhanov Bagdat Myrzakhmetov Jonathan North Washington 30 17 0 20 Jul 2017
Attending to Characters in Neural Sequence Labeling Models Marek Rei Gamal K. O. Crichton S. Pyysalo 43 187 0 14 Nov 2016