Papers by Antti Arppe
Building a Constraint Grammar Parser for Plains Cree Verbs and Arguments (L18-1)
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| Challenge: | a Constraint Grammar parser for Plains Cree is developed for its rich morphology and syntax . the focus of the parsers is to identify relationships between verbs and arguments . |
| Approach: | This paper presents the development and application of a Constraint Grammar parser for Plains Cree . the parsers focus on the identification of relationships between verbs and arguments . |
| Outcome: | The proposed parser is based on a Constraint Grammar formalism for the Plains Cree language . it allows for the identification of common word order patterns and relationships between word order and information structure . |
An Expanded Finite-State Transducer for Tsuut’ina Verbs (2022.lrec-1)
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| Challenge: | a finite state transducer (FST) for the transitive verb system of Tsuut'ina (ISO 639-3: srs) is described for the Dene (Athabaskan) language spoken in Alberta, Canada. |
| Approach: | They describe the expansion of a finite state transducer (FST) for the transitive verb system of Tsuut'ina (ISO 639-3: srs) Dene languages have unique templatic morphology, in which lexical, inflectional and derivational tiers are interlaced. |
| Outcome: | The proposed model can handle a great range of common and rare argument structure types, including ditransitive and uniquely Dene object experiencer verbs. |
A Computational Architecture for the Morphology of Upper Tanana (L18-1)
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| Challenge: | a computational model of Upper Tanana is described to model the Dene language . the model uses lexical-inflectional verb classes to predict possible derivations and their morphological behavior. |
| Approach: | They propose a computational model of Upper Tanana, a highly endangered Dene language . the model parses and generates inflected Upper Tanans and uses a lexical-inflectional verb system to predict possible derivations and their morphological behavior. |
| Outcome: | The proposed model parses and generates inflected Upper Tanana verb forms . it also uses the language's verb theme category system to predict possible derivations and their morphological behavior . |
BabyFST - Towards a Finite-State Based Computational Model of Ancient Babylonian (2020.lrec-1)
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| Challenge: | morphological analyzer for Akkadian is not yet available for the extinct language . we present a general finite-state based model for Babylonian that can achieve a coverage of 97.3% and a recall of 93.7% on token level. |
| Approach: | They propose a general finite-state based morphological model for Babylonian that can achieve a coverage of 97.3% and recall up to 93.7% on lemmatization and POS-tagging tasks. |
| Outcome: | The proposed model can achieve coverage and recall of 97.3% on lemmatization and POS-tagging tasks on token level from a transcribed input. |
Indigenous language technologies in Canada: Assessment, challenges, and successes (C18-1)
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Patrick Littell, Anna Kazantseva, Roland Kuhn, Aidan Pine, Antti Arppe, Christopher Cox, Marie-Odile Junker
| Challenge: | There are approximately 60 Indigenous languages currently spoken in Canada. |
| Approach: | They examine which technologies have been developed and which are feasible to develop for the 60 Indigenous languages spoken in Canada. |
| Outcome: | The proposed technologies are based on the existing technologies and are feasible for most or all of these languages. |
Modeling Northern Haida Verb Morphology (L18-1)
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| Challenge: | a computational model of the verbal morphology of Northern Haida is being developed . the model is capable of handling complex affixation patterns and morphophonological alternations . |
| Approach: | They propose a computational model of the verbal morphology of Northern Haida based on finite state machines with a focus on verbs. |
| Outcome: | The proposed model can handle complex affixation patterns and morphophonological alternations in the native language. |
Are modern neural ASR architectures robust for polysynthetic languages? (2024.findings-emnlp)
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| Challenge: | Traditional morphological typology recognizes a range of morphology in the world's languages. |
| Approach: | They investigate the performance of modern automatic speech recognition architectures on morphologically complex languages. |
| Outcome: | The proposed architectures perform better on morphologically complex languages, the authors show . they show that they are less robust in managing high OOV rates for morphology complex languages . |
Interactive Word Completion for Plains Cree (2022.acl-long)
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| Challenge: | a tool that helps users incrementally build complex words is being developed in morphologically complex languages. |
| Approach: | They propose a finite state approach which maps prefixes in a language to completions up to the next morpheme boundary for incremental building of complex words. |
| Outcome: | The proposed approach shows portability to a larger, more complete morphological transducer. |
Automated Phonological Transcription of Akkadian Cuneiform Text (2020.lrec-1)
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| Challenge: | Akkadian was an east-semitic language spoken in ancient Mesopotamia . cuneiform text does not mark the inflection for logograms, so the inflected form needs to be inferred from the sentence context. |
| Approach: | They propose to automate phonological transcription of the transliterated Akkadian corpora . transcription is normalized according to the grammatical description of a given dialect . they find that cuneiform text does not mark the inflection for logograms . |
| Outcome: | The proposed transcriptions show the Akkadian renderings for Sumerian logograms, while the logogram transcription is more challenging. |