Modeling the Noun Morphology of Plains Cree

Snoek, Conor; Thunder, Dorothy; Lõo, Kaidi; Arppe, Antti; Lachler, Jordan; Moshagen, Sjur; Trosterud, Trond

doi:10.3115/v1/w14-2205

Cited by 19 publications

(17 citation statements)

References 6 publications

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“…Ahenakew 1988;Lavallee and Silverthorne 2014), and morphological analyzers (e.g. Harrigan et al forthcoming;Snoek et al 2014). While existing computational analyzers focus primarily on inflectional morphology, Algonquian languages also display considerable derivational morphology.…”

Section: Plains Creementioning

confidence: 99%

“…XFSCRIPT regular expressions, which enable us to define a cascade of ordered SPE-style rewrite rules for implementing the various morphophonological processes, typically occurring at morpheme junctures, but possibly across an entire stem (such as palatalization in conjunction with the diminutive morphemes -is, -isis, and -si). Previously, we have also made use of FST technology to build a computational inflectional model for Plains Cree (e.g.Harrigan et al forthcoming;Snoek et al 2014), which analyzes verbal and nominal inflection, such as person, number, tense, possession, etc 4. …”

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confidence: 99%

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Insights from Computational Modeling of the Derivational Structure of Plains Cree Stems

Arppe¹,

Schmirler²,

Silfverberg³

et al. 2019

Papers of the Forty-Eighth Algonquian Conference

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The complex inflectional and derivational morphology of Plains Cree and other Algonquian languages has long been considered from both a synchronic and diachronic perspective (e.g. Bloomfield 1946; Goddard 1974; Oxford 2014). While the composition of some modern Plains Cree stems has been obscured by sound change, they can often still be identified by linguists, and for speakers, many morphemes are available to freely derive new stems. Unlike derivational morphology, the inflectional morphology of Cree is quite regular and lends itself to straightforward description and this has translated to a computational model that can analyze inflected forms of Plains Cree lemmata (e.g. Harrigan et al. forthcoming; Snoek et al. 2014). Though the derivational morphology poses more challenges to model, lists of existing derivational morphemes can be extracted from existing sources and various morphophonological rules have been described (Cook and Muehlbauer 2010; Wolfart 1996; Wolvengrey 2001). However, we can make use of the derivational model to assess how well the rules and morphemes given for Plains Cree apply when tested against lemmas included in available dictionaries. This approach, following Karttunen (2006), allows us to test theoretical descriptions against larger data sets than those used to produce the rules: where the human mind can only make sense of so much data at once, a quantitative approach can take thousands of words into account. In this article, we present the first version of a computational model for Plains Cree derivational morphology, using a weighted finite-state transducer, and discuss its

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Section: Plains Creementioning

confidence: 99%

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confidence: 99%

Insights from Computational Modeling of the Derivational Structure of Plains Cree Stems

Arppe¹,

Schmirler²,

Silfverberg³

et al. 2019

Papers of the Forty-Eighth Algonquian Conference

Self Cite

View full text Add to dashboard Cite

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“…Although relatively small endangered languages are also increasingly gaining attention by the computational linguistic research (as an example for Northern Saami, see Trosterud 2006a; and for Plains Cree, see Snoek et al 2014), these projects work predominantly with written language varieties. Current computational linguistic projects on endangered languages seem to have simply copied their approach from already established research on the major languages, including the focus on written language.…”

Section: Introductionmentioning

confidence: 99%

Instant annotations in ELAN corpora of spoken and written Komi, an endangered language of the Barents Sea region

Gerstenberger¹,

Partanen²,

Rießler³

2017

Proceedings of the 2nd Workshop on the Use of Computational Methods in the Study of Endangered Languages

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The paper describes work-in-progress by the Izhva Komi language documentation project, which records new spoken language data, digitizes available recordings and annotate these multimedia data in order to provide a comprehensive language corpus as a databases for future research on and for this endangered -and under-described -Uralic speech community. While working with a spoken variety and in the framework of documentary linguistics, we apply language technology methods and tools, which have been applied so far only to normalized written languages. Specifically, we describe a script providing interactivity between ELAN, a Graphical User Interface tool for annotating and presenting multimodal corpora, and different morphosyntactic analysis modules implemented as Finite State Transducers and Constraint Grammar for rule-based morphosyntactic tagging and disambiguation. Our aim is to challenge current manual approaches in the annotation of language documentation corpora.

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“…Similar efforts has taken place for another Algonquian language, Plains Cree (Snoek et al, 2014). Having developed a finite-state morphological parser for a morphologically complex language, developing a spell checker (or even corrector), a lemmatizer, or e-dictionary tools would be more accessible for any language (Alegria et al, 2009;Pirinen and Hardwick, 2012).…”

Section: Creating Computer Resources For Arapaho 31 Morphological Pamentioning

confidence: 99%

Creating lexical resources for polysynthetic languages–-the case of Arapaho

Kazeminejad¹,

Cowell²,

Hulden³

2017

Proceedings of the 2nd Workshop on the Use of Computational Methods in the Study of Endangered Languages

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This paper discusses the challenges in creating pedagogical and research resources for the Arapaho language. Because of the complex morphology of this language, printed resources cannot provide the typical useful functions that they can for many other languages. We discuss the challenges faced by most learners and researchers working with polysynthetic languages, of which Arapaho is an excellent example, as well as some currently implemented solutions in creating computer resources for this language, including a lexical database, a morphological parser, and a concordancer. The construction of the finite-state morphological parser which many downstream tasks rely on will be discussed in some detail.

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Modeling the Noun Morphology of Plains Cree

Cited by 19 publications

References 6 publications

Insights from Computational Modeling of the Derivational Structure of Plains Cree Stems

Insights from Computational Modeling of the Derivational Structure of Plains Cree Stems

Instant annotations in ELAN corpora of spoken and written Komi, an endangered language of the Barents Sea region

Creating lexical resources for polysynthetic languages–-the case of Arapaho

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