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[PDF] Top 20 Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection

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Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection

Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection

... PHON 2017 shared task on morpholog- ical ...The task is to predict the inflected form given a lemma and a set of morpho-syntactic ...the task in a limited-resource set- ...designated ... See full document

9

The NYU System for the CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection

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

6

The CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection

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., ... See full document

27

Experiments on Morphological Reinflection: CoNLL 2018 Shared Task

Experiments on Morphological Reinflection: CoNLL 2018 Shared Task

... Hulden. 2017. The conllsigmor- phon 2017 shared task: Universal morphological rein- flection in 52 ...CoNLL- SIGMORPHON 2017 Shared Task: Universal Morpho- ... See full document

10

Finding the way from ä to a: Sub character morphological inflection for the SIGMORPHON 2018 shared task

Finding the way from ä to a: Sub character morphological inflection for the SIGMORPHON 2018 shared task

... CoNLL– SIGMORPHON 2018 Shared Task: Univer- sal Morphological ...of UZH (Makarov et al., 2017), adding new ideas and techniques to their key concept and evaluating different com- ... See full document

10

Proceedings of the CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection

Proceedings of the CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection

... CoNLL-SIGMORPHON shared task in morphological reinflection held at CoNLL 2018, in Brussels, ...of shared tasks that address supervised learning of ...the SIGMORPHON ... See full document

10

The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross Lingual Transfer for Inflection

The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection

... PHON shared tasks (Cotterell et ...as morphological inflection where the transduction is mostly ...a morphological tag is fed to the decoder along with target character embeddings to guide the ... See full document

16

CUNI–Malta system at SIGMORPHON 2019 Shared Task on Morphological Analysis and Lemmatization in context: Operation based word formation

CUNI–Malta system at SIGMORPHON 2019 Shared Task on Morphological Analysis and Lemmatization in context: Operation based word formation

... Previous work on neural transducers for morphol- ogy tasks (Aharoni and Goldberg, 2017; Makarov and Clematide, 2018b,a) rely on the fact that an almost monotonic alignment of input and output characters exists. ... See full document

9

Morphological Reinflection in Context: CU Boulder’s Submission to CoNLL–SIGMORPHON 2018 Shared Task

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

7

Experiments on Morphological Reinflection: CoNLL 2017 Shared Task

Experiments on Morphological Reinflection: CoNLL 2017 Shared Task

... phological reinflection, most systems used a 3- step approach to solve the problem: 1) String alignment between the lemma and the target (mor- phologically transformed form), 2) Rule extrac- tion from spans of the ... See full document

8

The LMU System for the CoNLL SIGMORPHON 2017 Shared Task on Universal Morphological Reinflection

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

IIT(BHU)–IIITH at CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection

IIT(BHU)–IIITH at CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection

... to copy. We use Pointer-Generator Network (See et al., 2017) which facilitates copying of charac- ters of lemma and tackles the problem of out-of- vocabulary tokens during ... See full document

7

AX Semantics’ Submission to the CoNLL–SIGMORPHON 2018 Shared Task

AX Semantics’ Submission to the CoNLL–SIGMORPHON 2018 Shared Task

... to align the lemma and the expected ...generated Copy, Delete and Insert oper- ations to transfer the lemma to the inflected form (analogous to Makarov et ... See full document

5

Kann, Katharina
  

(2019):


	Neural sequence-to-sequence models for low-resource morphology.


Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik

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

120

Unlabeled Data for Morphological Generation With Character Based Sequence to Sequence Models

Unlabeled Data for Morphological Generation With Character Based Sequence to Sequence Models

... CoNLL-SIGMORPHON 2017 shared task on uni- versal morphological reinflection (SIG17) (Cot- terell et ...al., 2017), which is extremely suitable for low-resource ... See full document

6

The SIGMORPHON 2016 Shared Task—Morphological Reinflection

The SIGMORPHON 2016 Shared Task—Morphological Reinflection

... forms, the probability of encountering any sin- gle word form decreases, reducing the effective- ness of frequency-based techniques in performing tasks like word alignment and language modeling (Koehn, 2010; Duh and ... See full document

13

UZH at CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection

UZH at CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection

... 2018 Shared Task on Universal Morphological Reinflection (Cot- terell et ...Goldberg, 2017; Makarov and Clematide, ...the SIGMORPHON shared task (Aharoni et ... See full document

7

ISI at the SIGMORPHON 2017 Shared Task on Morphological Reinflection

ISI at the SIGMORPHON 2017 Shared Task on Morphological Reinflection

... In this article, we introduce a long short-term memory (LSTM) network architecture to handle the morphological reinflection task. The proposed method is language independent and does not re- quire ... See full document

5

CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages

CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages

... The shared task language set is genealogi- cally diverse, including languages from 10 lan- guage ...The shared task language set is also diverse in terms of morphological structure, ... See full document

30

Weird Inflects but OK: Making Sense of Morphological Generation Errors

Weird Inflects but OK: Making Sense of Morphological Generation Errors

... the shared task, those for which the top systems have a non-trivial number of errors, and those for which we have sufficient linguistic ...of morphological ex- ponence. In agglutination, each ... See full document

12

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