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1
An Ethnography of Russian Language Teaching in Bulgarian Schools During Socialism (1944-1989): Textbooks and Memories
In: Slavic Studies Honors Papers (2021)
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2
ЭМОЦИОНАЛЬНО-ОЦЕНОЧНАЯ ЛЕКСИКА СОЧИНЕНИЙ ИВАНА ГРОЗНОГО ...
Попов, Дмитрий. - : Open Science Framework, 2021
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3
The Current Language Crisis in Siberia
In: University Honors Theses (2021)
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4
PLPrepare: A Grammar Checker for Challenging Cases
In: Electronic Theses and Dissertations (2021)
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5
Preregistration ...
Šimík, Radek. - : Open Science Framework, 2021
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6
Investigating the Needs of Foreign Language Learners of Tuvan
In: World Languages and Literatures Faculty Publications and Presentations (2020)
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7
Russian Language Use in the United States: Demographics and Implications
In: Posters-at-the-Capitol Presentations (2020)
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8
A Research Guide to Southeastern Europe: Print and Electronic Sources
In: Library Staff Publications (2019)
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9
Quantitative Fine-grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian
In: Articles (2018)
Abstract: This paper presents a quantitative fine-grained manual evaluation approach to comparing the performance of different machine translation (MT) systems. We build upon the well-established Multidimensional Quality Metrics (MQM) error taxonomy and implement a novel method that assesses whether the differences in performance for MQM error types between different MT systems are statistically significant. We conduct a case study for English-to- Croatian, a language direction that involves translating into a morphologically rich language, for which we compare three MT systems belonging to different paradigms: pure phrase-based, factored phrase-based and neural. First, we design an MQM-compliant error taxonomy tailored to the relevant linguistic phenomena of Slavic languages, which made the annotation process feasible and accurate. Errors in MT outputs were then annotated by two annotators following this taxonomy. Subsequently, we carried out a statistical analysis which showed that the best-performing system (neural) reduces the errors produced by the worst system (pure phrase-based) by more than half (54%). Moreover, we conducted an additional analysis of agreement errors in which we distinguished between short (phrase-level) and long distance (sentence-level) errors. We discovered that phrase-based MT approaches are of limited use for long distance agreement phenomena, for which neural MT was found to be especially effective.
Keyword: Computational Engineering; Digital Humanities; error annotation; factored models; human evaluation; Language Interpretation and Translation; Modern Languages; multidimensional quality metrics (MQM); neural machine translation; Other Computer Engineering; phrase-based machine translation; Slavic Languages and Societies; statistical machine translation
URL: https://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1062&context=scschcomart
https://arrow.tudublin.ie/scschcomart/57
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10
hr500k – A Reference Training Corpus of Croatian.
In: Conference papers (2018)
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11
Memory and the Realization of the Nothingness. On a Letter of Vittorio Sereni to Giuseppe Ungaretti
In: Languages, Literatures, and Linguistics (2018)
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12
Terribly in love: Selected poems of Tautvyda Marcinkeviciute
In: English Faculty Publications (2018)
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13
Evolving Secondary Colours: Evidence from Sorbian
In: Andrew R. Hippisley (2018)
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14
Pirandello and Satire. The Imaginary Journey of Four Authors in Search of a Character According to Charles Kenneth Scott Moncrieff (1889-1930)
In: Languages, Literatures, and Linguistics (2017)
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15
Preliudai po lietaus = Preludes after Rain
In: English Faculty Publications (2017)
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16
Two Voices = Du Balsai
In: English Faculty Publications (2017)
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17
The Agent Across the Border: "Russia" and "Ukraine" as Actors in the News, 2013-2015
In: Theses and Dissertations--Linguistics (2016)
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18
Linguistic Landscape of Main Streets in Bosnia and Herzegovina
In: Undergraduate Honors Theses (2015)
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19
Linguistic Landscape of Main Streets in Bosnia and Herzegovina
In: Undergraduate Honors Theses (2015)
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20
Martin Luther: Vater Einer Allgemeinen Sprache? Martin Luther: Father of a Common Language?
In: John Wesley Powell Student Research Conference (2014)
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