[PDF] Top 20 The CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection
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The CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection
... In the lower data conditions, encoder-decoder models are known to perform worse than the base- line model due to data sparsity. One way to work around this weakness is to learn sequences of edit operations instead of a ... See full document
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BME HAS System for CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection
... We presented our submissions for the CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. We em- ployed variations of sequence-to-sequence or ... See full document
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UZH at CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection
... The CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection (Cot- terell et ...al., 2018) focuses on inflection generation at the type ... See full document
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The NYU System for the CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection
... the CoNLL–SIGMORPHON 2018 shared task on universal morphological ...of Task 2, track 2, ...official shared task evaluation, our system obtains the ... See full document
6
Proceedings of the CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection
... the shared task received support from DARPA I20 in the program Low Resource Languages for Emergent Incidents ...of CoNLL 2018 and the parallel Universal Dependencies CoNLL ... See full document
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IIT(BHU)–IIITH at CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection
... formulate morphological inflection as neural sequence to sequence learn- ing problem (Cho et ...fed morphological tags into the encoder along with the sequence of char- acters of ... See full document
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Combining Neural and Non Neural Methods for Low Resource Morphological Reinflection
... the CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection (Cot- terell et ...al., 2018). We focus on the sub-task of type-level ... See full document
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Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
... year’s task featured new metrics that also scored a system’s capacity to predict a morphological analysis of each word, including a part-of-speech tag, morphological features, and a ... See full document
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Experiments on Morphological Reinflection: CoNLL 2017 Shared Task
... The conll- sigmorphon 2016 shared task: Universal morpho- logical reinflection in 52 ...the CoNLL-SIGMORPHON 2017 Shared Task: Univer- sal ... See full document
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Finding the way from ä to a: Sub character morphological inflection for the SIGMORPHON 2018 shared task
... G´eraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, Sebastian Mielke, Arya D. McCarthy, Sandra K¨ubler, David Yarowsky, Ja- son Eisner, and Mans Hulden. 2018. UniMorph 2.0: Universal ... See full document
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Experiments on Morphological Reinflection: CoNLL 2018 Shared Task
... 2017 shared task: Universal morphological rein- flection in 52 ...the CoNLL- SIGMORPHON 2017 Shared Task: Universal Morpho- logical ... See full document
10
IPS WASEDA system at CoNLL–SIGMORPHON 2018 Shared Task on morphological inflection
... Hulden. 2018. The CoNLL– SIGMORPHON 2018 shared task: Universal mor- phological ...the CoNLL–SIGMORPHON 2018 Shared Task: Univer- sal ... See full document
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ISI at the SIGMORPHON 2017 Shared Task on Morphological Reinflection
... The CoNLL-SIGMORPHON 2017 shared task: Universal morphological reinflection in 52 ...the CoNLL- SIGMORPHON 2017 Shared Task: Universal ... See full document
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KU CST at CoNLL–SIGMORPHON 2018 Shared Task: a Tridirectional Model
... In this paper we describe our sequence-to- sequence model for morphological inflection. We have constructed a common Encoder- Decoder network that encodes the input lemma into a dense vector to translate it to an ... See full document
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CBNU System for SIGMORPHON 2019 Shared Task 2: a Pipeline Model
... The task of morphological analysis uses the output of lemmatization after pipelining ...NLP task: head- dependent relation labelling in dependency ...the CoNLL 2017 shared task ... See full document
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Kann, Katharina (2019): Neural sequence-to-sequence models for low-resource morphology. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... the morphological encoder- decoder model MED, a language-independent character-level sequence-to-sequence model for morphological reinflection or paradigm completion, which we extend in later ...most ... See full document
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The LMU System for the CoNLL SIGMORPHON 2017 Shared Task on Universal Morphological Reinflection
... In this paper, we describe the LMU system for the shared task. Since it depends on the language and the amount of resources available for training which method performs best, our approach con- sists of a ... See full document
9
Morphological Reinflection in Context: CU Boulder’s Submission to CoNLL–SIGMORPHON 2018 Shared Task
... For this task, we explored the performance of RNN encoder-decoder models with soft attention as to predicting the inflected forms of a lemma in context. We developed two systems by imple- menting the ... See full document
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CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages
... The CoNLL-SIGMORPHON 2017 shared task on supervised morphological gener- ation required systems to be trained and tested in each of 52 typologically di- verse ...the SIGMORPHON ... See full document
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Towards JointUD: Part of speech Tagging and Lemmatization using Recurrent Neural Networks
... This paper describes our submission to CoNLL 2018 UD Shared Task. We have extended an LSTM-based neural net- work designed for sequence tagging to additionally generate character-level se- ... See full document
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