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The SIGMORPHON 2019 shared task: Morphological analysis in context and cross-lingual transfer for inflection
The SIGMORPHON 2019 shared task on cross-lingual transfer and contextual analysis in
morphology examined transfer learning of inflection between 100 language pairs, as well as …
morphology examined transfer learning of inflection between 100 language pairs, as well as …
A survey on syntactic processing techniques
Computational syntactic processing is a fundamental technique in natural language
processing. It normally serves as a pre-processing method to transform natural language …
processing. It normally serves as a pre-processing method to transform natural language …
Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification
In order to provide benchmark performance for Urdu text document classification, the
contribution of this paper is manifold. First, it provides a publicly available benchmark …
contribution of this paper is manifold. First, it provides a publicly available benchmark …
Cross-lingual lemmatization and morphology tagging with two-stage multilingual BERT fine-tuning
D Kondratyuk - Proceedings of the 16th workshop on …, 2019 - aclanthology.org
We present our CHARLES-SAARLAND system for the SIGMORPHON 2019 Shared Task on
Crosslinguality and Context in Morphology, in task 2, Morphological Analysis and …
Crosslinguality and Context in Morphology, in task 2, Morphological Analysis and …
Morphological Processing of Low-Resource Languages: Where We Are and What's Next
Automatic morphological processing can aid downstream natural language processing
applications, especially for low-resource languages, and assist language documentation …
applications, especially for low-resource languages, and assist language documentation …
On the role of morphological information for contextual lemmatization
Lemmatization is a natural language processing (NLP) task that consists of producing, from
a given inflected word, its canonical form or lemma. Lemmatization is one of the basic tasks …
a given inflected word, its canonical form or lemma. Lemmatization is one of the basic tasks …
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 …
Morpheus: A neural network for jointly learning contextual lemmatization and morphological tagging
In this study, we present Morpheus, a joint contextual lemmatizer and morphological tagger.
Morpheus is based on a neural sequential architecture where inputs are the characters of …
Morpheus is based on a neural sequential architecture where inputs are the characters of …
Neural morphology dataset and models for multiple languages, from the large to the endangered
We train neural models for morphological analysis, generation and lemmatization for
morphologically rich languages. We present a method for automatically extracting …
morphologically rich languages. We present a method for automatically extracting …
Computational morphology with neural network approaches
L Liu - arxiv preprint arxiv:2105.09404, 2021 - arxiv.org
Neural network approaches have been applied to computational morphology with great
success, improving the performance of most tasks by a large margin and providing new …
success, improving the performance of most tasks by a large margin and providing new …