Don't throw those morphological analyzers away just yet: Neural morphological disambiguation for Arabic
This paper presents a model for Arabic morphological disambiguation based on Recurrent
Neural Networks (RNN). We train Long Short-Term Memory (LSTM) cells in several …
Neural Networks (RNN). We train Long Short-Term Memory (LSTM) cells in several …
Adapting word embeddings to new languages with morphological and phonological subword representations
Much work in Natural Language Processing (NLP) has been for resource-rich languages,
making generalization to new, less-resourced languages challenging. We present two …
making generalization to new, less-resourced languages challenging. We present two …
Adversarial multitask learning for joint multi-feature and multi-dialect morphological modeling
Morphological tagging is challenging for morphologically rich languages due to the large
target space and the need for more training data to minimize model sparsity. Dialectal …
target space and the need for more training data to minimize model sparsity. Dialectal …
Joint diacritization, lemmatization, normalization, and fine-grained morphological tagging
Semitic languages can be highly ambiguous, having several interpretations of the same
surface forms, and morphologically rich, having many morphemes that realize several …
surface forms, and morphologically rich, having many morphemes that realize several …
Morphological analysis and disambiguation for Gulf Arabic: The interplay between resources and methods
In this paper we present the first full morphological analysis and disambiguation system for
Gulf Arabic. We use an existing state-of-the-art morphological disambiguation system to …
Gulf Arabic. We use an existing state-of-the-art morphological disambiguation system to …
The effect of morphology in named entity recognition with sequence tagging
This work proposes a sequential tagger for named entity recognition in morphologically rich
languages. Several schemes for representing the morphological analysis of a word in the …
languages. Several schemes for representing the morphological analysis of a word in the …
Improving named entity recognition by jointly learning to disambiguate morphological tags
Previous studies have shown that linguistic features of a word such as possession, genitive
or other grammatical cases can be employed in word representations of a named entity …
or other grammatical cases can be employed in word representations of a named entity …
Using morphological knowledge in open-vocabulary neural language models
Languages with productive morphology pose problems for language models that generate
words from a fixed vocabulary. Although character-based models allow any possible word …
words from a fixed vocabulary. Although character-based models allow any possible word …
[PDF][PDF] Joint prediction of morphosyntactic categories for fine-grained Arabic part-of-speech tagging exploiting tag dictionary information
G Inoue - 2019 - naist.repo.nii.ac.jp
Abstract Part-of-speech (POS) tagging for morphologically rich languages such as Arabic is
a challenging problem because of their enormous tag sets. One reason for this is that in the …
a challenging problem because of their enormous tag sets. One reason for this is that in the …
[PDF][PDF] Creating lexical resources for polysynthetic languages—The case of Arapaho
G Kazeminejad, A Cowell… - … of the 2nd Workshop on the …, 2017 - aclanthology.org
This paper discusses the challenges in creating pedagogical and research resources for the
Arapaho language. Because of the complex morphology of this language, printed resources …
Arapaho language. Because of the complex morphology of this language, printed resources …