[PDF] Top 20 The NYU System for the CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection
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The NYU System for the CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection
... The extreme type sparsity in text in a morpho- logically rich language, i.e., a language which relies strongly on changes in the surface form of words to express properties like gender, tense or number, requires natural ... 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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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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The CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection
... tance alignment as part of the training loss func- tion in the model, producing an end-to-end model. Another alternative to the edit sequence model is to use pointer generator networks, introduced by (See et al., 2017) ... 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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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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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 ...al., ... 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 ... See full document
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Experiments on Morphological Reinflection: CoNLL 2018 Shared Task
... a system for the task of morpho- logical inflection, ...tags. System is trained on datasets of three sizes: low, medium and ...The system uses a simple Long Short-Term Memory (LSTM) based ... See full document
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Finding the way from ä to a: Sub character morphological inflection for the SIGMORPHON 2018 shared task
... previous CoNLL–SIGMORPHON Shared ...2016 Shared Task employed data enhancement for the low resource ...based system. Silfverberg et al. (2017) employ a data augmen- tation ... 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 ...baseline ... 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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IPS WASEDA system at CoNLL–SIGMORPHON 2018 Shared Task on morphological inflection
... For each instance in the training data, it aligns the lemma and target form using Levenshtein dis- tance to cut the word into three categories of can- didate: prefix, stem, and suffix. Prefixing and suffixing rules are ... See full document
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KU CST at CoNLL–SIGMORPHON 2018 Shared Task: a Tridirectional Model
... 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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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 SIGMORPHON 2016 Shared Task—Morphological Reinflection
... The system developed jointly by Columbia and NYUAD (Taji et ...Arabic. Reinflection is performed by selecting a set of changes to apply to a stem, and attaching appropriate affixes to the ... 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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Morphological Reinflection in Context: CU Boulder’s Submission to CoNLL–SIGMORPHON 2018 Shared Task
... The shared task is broken into 2 ...this task: German, English, Spanish, Finnish, French, Rus- sian, and Swedish; and 3 data settings: low (< 100 sentence examples), medium ( < 900 sentence ex- ... See full document
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CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages
... modeling morphological patterns and complex word forms have received less attention from the HLT community than tasks that target other levels of linguistic ... See full document
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CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
... 2017 task, these languages were not “surprise languages”, that is, the participants knew well in advance what languages to ...writing system that does not separate words by spaces; the Facebook word vectors ... See full document
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