LemmaTag: Jointly Tagging and Lemmatizing for Morphologically Rich Languages with BRNNs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10390169" target="_blank" >RIV/00216208:11320/18:10390169 - isvavai.cz</a>
Result on the web
<a href="http://aclweb.org/anthology/D18-1532" target="_blank" >http://aclweb.org/anthology/D18-1532</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
LemmaTag: Jointly Tagging and Lemmatizing for Morphologically Rich Languages with BRNNs
Original language description
We present LemmaTag, a featureless neural network architecture that jointly generates part-of-speech tags and lemmas for sentences by using bidirectional RNNs with character-level and word-level embeddings. We demonstrate that both tasks benefit from sharing the encoding part of the network, predicting tag subcategories, and using the tagger output as an input to the lemmatizer. We evaluate our model across several languages with complex morphology, which surpasses state-of-the-art accuracy in both part-of-speech tagging and lemmatization in Czech, German, and Arabic.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LM2015071" target="_blank" >LM2015071: Language Research Infrastructure in the Czech Republic</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Conference on Empirical Methods in Natural Language Processing EMNLP 2018
ISBN
978-1-948087-84-1
ISSN
—
e-ISSN
neuvedeno
Number of pages
8
Pages from-to
4921-4928
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Bruxelles, Belgium
Event date
Oct 31, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—