[PDF] Top 20 MED: The LMU System for the SIGMORPHON 2016 Shared Task on Morphological Reinflection
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MED: The LMU System for the SIGMORPHON 2016 Shared Task on Morphological Reinflection
... the SIGMORPHON 2016 Shared ...explicit morphological representation that enables the attention mechanism of the encoder-decoder to generalize MRI patterns across tag ... See full document
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The LMU System for the CoNLL SIGMORPHON 2017 Shared Task on Universal Morphological Reinflection
... the LMU system for the shared ...network MED (Kann and Sch¨utze, 2016b), while extending the training data in several ...baseline system, which can be trained on fewer ... 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 ... See full document
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CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages
... 2017 shared task on supervised morphological gener- ation required systems to be trained and tested in each of 52 typologically di- verse ...24 system submissions, while sub-task 2 ... See full document
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Morphological Reinflection in Context: CU Boulder’s Submission to CoNLL–SIGMORPHON 2018 Shared Task
... first system (SYS 1) outperforms the second system (SYS 2) in both high and medium data settings, though nei- ther of them get a higher averaged accuracy than the baseline system when the training ... See full document
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The Columbia University New York University Abu Dhabi SIGMORPHON 2016 Morphological Reinflection Shared Task Submission
... For Task 2 and Task 3, we used cooccurrence evidence to de- termine the clusters, where if two words appeared together in the same training instance, we assigned them to the same lemma ...in Task 1 ... See full document
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Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection
... three task setups: a low setting where training data are only 100 (!) samples, a medium setting with 1K training samples, and a high setting with 10K ...tackling morphological inflection generation at a ... See full document
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IIT(BHU)–IIITH at CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection
... for Task 1 of CoNLL– SIGMORPHON 2018 Shared Task on Uni- versal Morphological Reinflection (Cotterell et ...The task is to generate the in- flected form given a lemma and ... See full document
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Finding the way from ä to a: Sub character morphological inflection for the SIGMORPHON 2018 shared task
... The loss function shown in eq. (1) is based on the locally normalized path probability presented in eq. (4) of Andor et al. (2016). It calculates the negated sum over the log-likelihood l of the correct action in ... See full document
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AX Semantics’ Submission to the CoNLL–SIGMORPHON 2018 Shared Task
... our system and the one described in Sorokin (2016), which apart from excluding the features seen less than 3 times only kept 10% of all features according to an ambiguity ... See full document
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Unlabeled Data for Morphological Generation With Character Based Sequence to Sequence Models
... baseline system of the CoNLL-SIGMORPHON 2017 shared task on uni- versal morphological reinflection (SIG17) (Cot- terell et ... See full document
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AX Semantics’ Submission to the SIGMORPHON 2019 Shared Task
... the SIGMORPHON 2019 shared task on morphological ...the task for all languages in one codebase, without any underlying language specific ...second system uses the same model ... See full document
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CUNI–Malta system at SIGMORPHON 2019 Shared Task on Morphological Analysis and Lemmatization in context: Operation based word formation
... an operation-based word formation process using a neural transducer which consumes more than one character at a time. Our main motivation for this approach stems from neural transducers that normally consume one ... See full document
9
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 ...2017 shared task (Nivre et ...2018 ... See full document
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Experiments on Morphological Reinflection: CoNLL 2017 Shared Task
... conll- sigmorphon 2016 shared task: Universal morpho- logical reinflection in 52 ...2017 Shared Task: Univer- sal Morphological ... See full document
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Experiments on Morphological Reinflection: CoNLL 2018 Shared Task
... and morphological features of the tatrget word are represented using one hot ...in system proposed by (Faruqui et al., 2016) based on assumption that bigger vocabulary would re- quire bigger layers ... See full document
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Combining Neural and Non Neural Methods for Low Resource Morphological Reinflection
... this system paper, we discuss our submissions to the CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection (Cot- terell et ... See full document
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UZH at CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection
... 4.2 Task II: Inflection Generation in Context Our submission involves a minor change to the model described ...of Task II, we compress the immediate context into context vector g and use it in place of the ... See full document
7
ISI at the SIGMORPHON 2017 Shared Task on Morphological Reinflection
... We present a system for morphological reinflection based on the LSTM model. Given an input word and morphosyntac- tic descriptions, the problem is to classify the proper edit tree that, applied on ... See full document
5
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 encoder-decoder ... See full document
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