DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4 5 6 7 8 9...149
Hits 81 – 100 of 2.974

81
Data for: Psycholinguistic dataset on language use in 1145 novels published in English and Dutch ...
Van Cranenburgh, Andreas. - : Mendeley, 2021
BASE
Show details
82
Graph-to-Graph Translations To Augment Abstract Meaning Representation Tense And Aspect ...
Bakal, Mollie. - : My University, 2021
BASE
Show details
83
A Journey in Linguistic Computing from Father Busa to Linguistic Linked Data ...
Passarotti, Marco. - : Zenodo, 2021
BASE
Show details
84
A Journey in Linguistic Computing from Father Busa to Linguistic Linked Data ...
Passarotti, Marco. - : Zenodo, 2021
BASE
Show details
85
Signed Coreference Resolution ...
BASE
Show details
86
Including Signed Languages in Natural Language Processing ...
BASE
Show details
87
Key to BibleWorks Greek Morphology (BGM) ...
Bilby, Mark Glen. - : Zenodo, 2021
BASE
Show details
88
Key to BibleWorks Greek Morphology (BGM) ...
Bilby, Mark Glen. - : Zenodo, 2021
BASE
Show details
89
Backtranslation in Neural Morphological Inflection ...
BASE
Show details
90
Rule-based Morphological Inflection Improves Neural Terminology Translation ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.477/ Abstract: Current approaches to incorporating terminology constraints in machine translation (MT) typically assume that the constraint terms are provided in their correct morphological forms. This limits their application to real-world scenarios where constraint terms are provided as lemmas. In this paper, we introduce a modular framework for incorporating lemma constraints in neural MT (NMT) in which linguistic knowledge and diverse types of NMT models can be flexibly applied. It is based on a novel cross-lingual inflection module that inflects the target lemma constraints based on the source context. We explore linguistically motivated rule-based and data-driven neural-based inflection modules and design English-German health and English-Lithuanian news test suites to evaluate them in domain adaptation and low-resource MT settings. Results show that our rule-based inflection module helps NMT models incorporate lemma constraints more ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing
URL: https://underline.io/lecture/37994-rule-based-morphological-inflection-improves-neural-terminology-translation
https://dx.doi.org/10.48448/y0cj-my74
BASE
Hide details
91
When is Char Better Than Subword: A Systematic Study of Segmentation Algorithms for Neural Machine Translation ...
BASE
Show details
92
The Reading Machine: a Versatile Framework for Studying Incremental Parsing Strategies ...
BASE
Show details
93
To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings ...
BASE
Show details
94
Translating Headers of Tabular Data: A Pilot Study of Schema Translation ...
BASE
Show details
95
A Prototype Free/Open-Source Morphological Analyser and Generator for Sakha ...
BASE
Show details
96
Automatic Error Type Annotation for Arabic ...
BASE
Show details
97
Developing Conversational Data and Detection of Conversational Humor in Telugu ...
BASE
Show details
98
Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words ...
BASE
Show details
99
HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation ...
BASE
Show details
100
Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors ...
BASE
Show details

Page: 1 2 3 4 5 6 7 8 9...149

Catalogues
0
0
0
0
0
0
3
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
2.971
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern