Apertium-fin-eng–Rule-based Shallow Machine Translation for WMT 2019 Shared Task

Pirinen, Tommi A.

doi:10.18653/v1/w19-5336

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…The final submission is an ensemble decode of the four best-performing checkpoints from a single training run when scoring newstest2018. (Pirinen, 2019) APERTIUM-FIN-ENG is a standard shallow rulebased machine translation using Apertium.…”

Section: Afrlmentioning

confidence: 99%

Findings of the 2019 Conference on Machine Translation (WMT19)

Barrault¹,

Bojar²,

Costa-jussà³

et al. 2019

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)

332

301

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This paper presents the results of the premier shared task organized alongside the Conference on Machine Translation (WMT) 2019. Participants were asked to build machine translation systems for any of 18 language pairs, to be evaluated on a test set of news stories. The main metric for this task is human judgment of translation quality. The task was also opened up to additional test suites to probe specific aspects of translation.

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Section: Afrlmentioning

confidence: 99%

Findings of the 2019 Conference on Machine Translation (WMT19)

Barrault¹,

Bojar²,

Costa-jussà³

et al. 2019

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)

332

301

View full text Add to dashboard Cite

show abstract

“…It uses other rule-based tools such as morphological generators and analyzers to conduct machine translation between a language pair. Apertium has been used successfully for many languages such as Finnish (Pirinen, 2019), Kazakh (Sundetova et al, 2014) Tatar and Bashkir (Tyers et al, 2012). As its strength has been proven with many other languages, it is only natural that our work would be based on Apertium.…”

Section: Related Workmentioning

confidence: 99%

Prerequisites for Shallow-Transfer Machine Translation of Mordvin Languages: Language Documentation with a Purpose

Rueter

Hämäläinen

2021

Preprint

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This paper presents the current lexical, morphological, syntactic and rule-based machine translation work for Erzya and Moksha that can and should be used in the development of a roadmap for Mordvin linguistic research. We seek to illustrate and outline initial problem types to be encountered in the construction of an Apertium-based shallow-transfer machine translation system for the Mordvin language forms. We indicate reference points within Mordvin Studies and other parts of Uralic studies, as a point of departure for outlining a linguistic studies with a means for measuring its own progress and developing a roadmap for further studies.

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“…However, there are several papers that focus on Finnish in particular (Hurskainen and Tiedemann, 2017;Hämäläinen and Alnajjar, 2019c;Pirinen, 2019a;.…”

Section: Generationmentioning

confidence: 99%

The Current State of Finnish NLP

Hämäläinen¹,

Alnajjar²

2021

Preprint

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There are a lot of tools and resources available for processing Finnish. In this paper, we survey recent papers focusing on Finnish NLP related to many different subcategories of NLP such as parsing, generation, semantics and speech. NLP research is conducted in many different research groups in Finland, and it is frequently the case that NLP tools and models resulting from academic research are made available for others to use on platforms such as Github. TiivistelmäSuomen kielen koneelliseen käsittelyyn on tarjolla paljon valmiita työkaluja ja resursseja.Tässä artikkelissa tarkastelemme viimeaikoina julkaistuja tieteellisiä artikkeleita, joissa keskitytään suomen kielen kieliteknologiaan.Tarkastelemme kieliteknologian eri alaluokkia, kuten jäsentämistä, tuottamista, semantiikkaa ja puheetta. kieliteknologista tutkimusta tehdään Suomessa monissa eri tutkimusryhmissä, ja usein akateemisen tutkimuksen tuloksena tuotetut kieliteknologian työkalut ja mallit julkaistaan muiden käytettäväksi esimerkiksi Githubissa.

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Apertium-fin-eng–Rule-based Shallow Machine Translation for WMT 2019 Shared Task

Cited by 3 publications

References 8 publications

Findings of the 2019 Conference on Machine Translation (WMT19)

Findings of the 2019 Conference on Machine Translation (WMT19)

Prerequisites for Shallow-Transfer Machine Translation of Mordvin Languages: Language Documentation with a Purpose

The Current State of Finnish NLP

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