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We develop a neural hybrid graphical model that explicitly reconstructs morphological features before predicting the inflected forms, and compare this to a ...
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May 4, 2019 · We develop a neural hybrid graphical model that explicitly reconstructs morphological features before predicting the inflected forms, and ...
NLP systems are often required to generate gram- matical text, e.g., in machine translation, dialogue, and grammar correction. One component of gram-.
Contextualization of Morphological Inflection ... Questions? Vylomova, Cotterell, Baldwin, Cohn, Eisner. Contextualization of Morphological Inflection. 39 / 39.
Critical to natural language generation is the production of correctly inflected text. In this paper, we isolate the task of predicting a fully.
May 10, 2019 · We develop a neural hybrid graphical model that explicitly reconstructs morphological features before predicting the inflected forms, and ...
Inflectional morphology conveys grammatical information, such as number, tense, agreement or case. English has relatively few inflectional morphemes, but many ...
Jul 2, 2019 · This document summarizes research on contextualizing morphological inflection using neural networks. The researchers tested models on 11 ...
This paper investigates the effect of verb semantics on the variable use of aspectuo-temporal morphology by the advanced learner of French. Using the Aspect ...
Sep 18, 2023 · Inflectional morphology refers to the addition of a morpheme at the end of a word to change what the word means in a sentence.