material ID: russian

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Authors: nan

Publication: TIPSTER (2007)

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We present a novel method for predicting in- flected word forms for generating morpho- logically rich languages in machine trans- lation. We utilize a rich set of syntactic and morphological …...

36530

Clausal-Packaging of Path of Motion in Second Language Acquisition of Russian and Spanish

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

Given that Mandarin is a verb-serializing language, Russian a satellite-framed language, and Spanish a verb-framed language, the current study examines Mandarin college students’ acquisition of Russian and Spanish as L2, …...

19312

A Cross-language Corpus for Studying the Phonetics and Phonology of Prominence

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

AbstractThe present article describes a corpus which was collected for the cross-language comparison of prominence. In the data analysis, the acoustic-phonetic properties of words spoken with two different levels of …...

17094

A Multi-Cultural Repository of Automatically Discovered Linguistic and Conceptual Metaphors

Authors: nan

Publication: TIPSTER (2014)

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AbstractIn this article, we present details about our ongoing work towards building a repository of Linguistic and Conceptual Metaphors. This resource is being developed as part of our research effort …...

16873

Assessing the Impact of Translation Errors on Machine Translation Quality with Mixed-effects Models

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Publication: TIPSTER (2014)

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Learning from errors is a crucial aspect of improving expertise. Based on this no- tion, we discuss a robust statistical frame- work for analysing the impact of different error types …...

34380

The Multilingual Paraphrase Database

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

AbstractWe release a massive expansion of the paraphrase database (PPDB) that now includes a collection of paraphrases in 23 different languages. The resource is derived from large volumes of bilingual …...

16111

ANEW+: Automatic Expansion and Validation of Affective Norms of Words Lexicons in Multiple Languages

Authors: nan

Publication: TIPSTER (2016)

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AbstractIn this article we describe our method of automatically expanding an existing lexicon of words with affective valence scores. The automatic expansion process was done in English. In addition, we …...

16477

chrF++: words helping character n-grams

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Publication: TIPSTER (2017)

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Character n-gram F-score (CHRF) shown to correlate very well with hu-is man relative rankings of different machine translation outputs, especially for morpho- logically rich target languages. However, its relation with …...

27897

Evaluation of Dictionary Creating Methods for Finno-Ugric Minority Languages

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In this paper, we present the evaluation of several bilingual dictionary building methods applied to {Komi-Permyak, Komi-Zyrian, Hill Mari, Meadow Mari, Northern Saami, Udmurt}–{English, Finnish, Hungarian, Russian} language pairs. Since …...

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Explicitly modeling case improves neural dependency parsing

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Publication: TIPSTER (2018)

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AbstractNeural dependency parsing models that compose word representations from characters can presumably exploit morphosyntax when making attachment decisions. How much do they know about morphology? We investigate how well they …...

34191

The Morpho-syntactic Annotation of Animacy for a Dependency Parser

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In this paper we present the annotation scheme and parser results of the animacy feature in Russian and Arabic, two morphologically- rich languages, in the spirit of the universal dependency …...

17605

Training and Adapting Multilingual NMT for Less-resourced and Morphologically Rich Languages

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Publication: TIPSTER (2018)

DOI: nan

In this paper, we present results of employing multilingual and multi-way neural machine translation approaches for morphologically rich languages, such as Estonian and Russian. We experiment with different NMT architectures …...

17426

Using Morphological Knowledge in Open-Vocabulary Neural Language Models

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Publication: TIPSTER (2018)

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AbstractLanguages with productive morphology pose problems for language models that generate words from a fixed vocabulary. Although character-based models allow any possible word type to be generated, they are linguistically …...

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Phonetic and Visual Priors for Decipherment of Informal Romanization

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AbstractInformal romanization is an idiosyncratic process used by humans in informal digital communication to encode non-Latin script languages into Latin character sets found on common keyboards. Character substitution choices differ …...

37236

Findings of the WMT 2021 Shared Tasks in Unsupervised MT and Very Low Resource Supervised MT

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Publication: TIPSTER (2021)

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AbstractWe present the findings of the WMT2021 Shared Tasks in Unsupervised MT and Very Low Resource Supervised MT. Within the task, the community studied very low resource translation between German …...

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Morphological Complexity of Children Narratives in Eight Languages

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Publication: TIPSTER (2022)

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AbstractThe aim of this study was to compare the morphological complexity in a corpus representing the language production of younger and older children across different languages. The language samples were …...

14851

Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised?

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Publication: TIPSTER (2022)

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AbstractKeyword extraction is the task of retrieving words that are essential to the content of a given document. Researchers proposed various approaches to tackle this problem. At the top-most level, …...

16524

Predicting the Proficiency Level of Nonnative Hebrew Authors

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Publication: TIPSTER (2022)

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AbstractWe present classifiers that can accurately predict the proficiency level of nonnative Hebrew learners. This is important for practical (mainly educational) applications, but the endeavor also sheds light on the …...

14665