1 |
Annoter et prédire des représentations linguistiques de phrases
|
|
|
|
In: https://hal.archives-ouvertes.fr/tel-03544267 ; Informatique et langage [cs.CL]. Université de Paris, 2022 (2022)
|
|
BASE
|
|
Show details
|
|
2 |
Pseudorelatives: Parsing Preferences and their Natural Concealment
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Morphological Parsing in Tagalog: A Masked Priming Study on Infixation, Prefixation, and Suffixation ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
An Unsupervised Approach to Structuring and Analyzing Repetitive Semantic Structures in Free Text of Electronic Medical Records
|
|
|
|
In: Journal of Personalized Medicine; Volume 12; Issue 1; Pages: 25 (2022)
|
|
BASE
|
|
Show details
|
|
5 |
Segmental and Prosodic Evidence for Property-by-Property Transfer in L3 English in Northern Africa
|
|
|
|
In: Languages; Volume 7; Issue 1; Pages: 28 (2022)
|
|
BASE
|
|
Show details
|
|
6 |
Modeling verb valency in a computational grammar for Portuguese in the HPSG formalism ; Modelação da valência verbal numa gramática computacional do português no formalismo HPSG
|
|
|
|
In: Domínios de Lingu@gem; Ahead of Print; 1-63 ; 1980-5799 (2022)
|
|
BASE
|
|
Show details
|
|
7 |
PFN-PT: a Framenet annotator for Portuguese ; Anotação semântica automática: um novo Framenet para o português
|
|
|
|
In: Domínios de Lingu@gem; Ahead of Print ; 1980-5799 (2022)
|
|
BASE
|
|
Show details
|
|
8 |
Multitask Pointer Network for Multi-Representational Parsing
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Joint learning of morphology and syntax with cross-level contextual information flow
|
|
|
|
In: 2022 ; 1 ; 33 (2022)
|
|
Abstract:
© 2022 The Authors. Published by Cambridge University Press. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: 10.1017/S1351324921000371 ; We propose an integrated deep learning model for morphological segmentation, morpheme tagging, part-of-speech (POS) tagging, and syntactic parsing onto dependencies, using cross-level contextual information flow for every word, from segments to dependencies, with an attention mechanism at horizontal flow. Our model extends the work of Nguyen and Verspoor (2018) on joint POS tagging and dependency parsing to also include morphological segmentation and morphological tagging. We report our results on several languages. Primary focus is agglutination in morphology, in particular Turkish morphology, for which we demonstrate improved performance compared to models trained for individual tasks. Being one of the earlier efforts in joint modeling of syntax and morphology along with dependencies, we discuss prospective guidelines for future comparison. ; This research has been supported by Scientific and Technological Research Council of Turkey (TUBITAK), project number EEEAG-115E464.
|
|
Keyword:
attention; deep learning; dependency parsing; morphological segmentation; morphological tagging; morphology; recurrent neural networks; syntax
|
|
URL: http://hdl.handle.net/2436/624440 https://doi.org/10.1017/S1351324921000371
|
|
BASE
|
|
Hide details
|
|
10 |
Evaluating Structural Economy Claims in Relative Clause Attachment
|
|
|
|
In: Proceedings of the Society for Computation in Linguistics (2022)
|
|
BASE
|
|
Show details
|
|
11 |
Parsing Early Modern English for Linguistic Search
|
|
|
|
In: Proceedings of the Society for Computation in Linguistics (2022)
|
|
BASE
|
|
Show details
|
|
14 |
Analyse en dépendances du français avec des plongements contextualisés
|
|
|
|
In: 28e Conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03223424 ; 28e Conférence sur le Traitement Automatique des Langues Naturelles, Jun 2021, Lille (virtuel), France (2021)
|
|
BASE
|
|
Show details
|
|
15 |
COSMO-Onset: A Neurally-Inspired Computational Model of Spoken Word Recognition, Combining Top-Down Prediction and Bottom-Up Detection of Syllabic Onsets
|
|
|
|
In: ISSN: 1662-5137 ; Frontiers in Systems Neuroscience ; https://hal.archives-ouvertes.fr/hal-03318691 ; Frontiers in Systems Neuroscience, Frontiers, 2021, 15, pp.653975. ⟨10.3389/fnsys.2021.653975⟩ (2021)
|
|
BASE
|
|
Show details
|
|
16 |
Neuro-computational models of language processing
|
|
|
|
In: EISSN: 2333-9691 ; Annual Review of Linguistics ; https://hal.archives-ouvertes.fr/hal-03334485 ; Annual Review of Linguistics, Annual Reviews, In press, ⟨10.1146/lingbuzz/006147⟩ (2021)
|
|
BASE
|
|
Show details
|
|
17 |
To be or not to be adultlike in syntax: An experimental study of language acquisition and processing in children ...
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Spanish is not different ; On the universality of minimal structure and locality principles
|
|
|
|
BASE
|
|
Show details
|
|
|
|