A Syntactically Expressive Morphological Analyzer for Turkish

Öztürel, Adnan; Kayadelen, Tolga; Demirsahin, Isin

doi:10.18653/v1/w19-3110

Cited by 8 publications

(2 citation statements)

References 17 publications

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“…Pashto is morphologically rich and is the most conservative vernacular among other languages in this family in the region. Pashto has preserved the archaic features that the rest of the languages have almost lost by way of their development over time (Zuhra and Khan, 2009). But, so far, no attention has been paid to the diminutive morphological function of Pashto by previous scholars, and in this regard, this study fills the gap and adds to the body of literature.…”

Section: Review Of Literaturementioning

confidence: 71%

The diminutive morphological function between English and Pashto languages: a comparative study

Khan

2023

Humanit Soc Sci Commun

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This study aimed to investigate the phenomenon of diminutive morphological function in terms of productivity, similarities, and differences in inflectional bound morphemes between English and Pashto, particularly in the categories of nouns and adjectives. The study also aims to examine the possible influence of ancient languages, such as Greek, on the diminutive morphological function and productivity of these two languages. It is generally assumed that languages descending from similar parental groups share the same diminutive function and productivity pattern in marking morphological mechanisms such as number, gender, and case. Different online sources, libraries, and publication papers were consulted to make a comparison between these two varieties. The findings revealed that both English and Pashto retain a morphological function, but English uses limited inflectional morphemes. Pashto, on the other hand, employs a wide range of suffixations, particularly in marking the diminutive aspect, and that differentiates it from English in semantic and pragmatic expressions. The findings aligned with the initial hypothesis developed that languages descending from similar parental groups use a similar pattern of morphological mechanisms. The only difference is that English drops the inflections to a greater extent because it underwent different phases of modifications, while Pashto still retains the inflections and, in turn, reveals greater productivity. Moreover, the findings disclosed that Pashto is closer to Greek in its inflectional nature and functioning of diminutives than English.

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Section: Review Of Literaturementioning

confidence: 71%

The diminutive morphological function between English and Pashto languages: a comparative study

Khan

2023

Humanit Soc Sci Commun

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“…However, most of them were not released publicly available, and they were not shared as tools that facilitate generating a result in real time. The earlier studies on Turkish morphology include morphological analyzers such as the two-level description of Turkish morphology (Oflazer, 1993), the stochastic morphological analyzer based on finite state transducers (Sak et al, 2009), paradigmatic approaches (Can and Manandhar, 2009, 2012, 2018, and few other open source analyzers such as Zemberek (Akın and Akın, 2007), TRmorph (Çöltekin, 2010), and the syntactically expressive morphological analyzer by Ozturel et al (2019). The earlier studies also involve dependency parsers such as the probabilistic and deterministic dependency parser by Eryigit et al (2008), the two-phase statistical parser based on Conditional Random Fields (CRFs) by Durgar El-Kahlout et al (2014), and the recent neural parser by Tuç and Can (2020).…”

Section: Related Work and Tools On Turkish Nlpmentioning

confidence: 99%

TurkishDelightNLP: A Neural Turkish NLP Toolkit

Alecakir¹,

Bölücü²,

Can³

2022

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Langua

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We introduce a neural Turkish NLP toolkit called TurkishDelightNLP that performs computational linguistic analyses from morphological level to semantic level that involves tasks such as stemming, morphological segmentation, morphological tagging, part-of-speech tagging, dependency parsing, and semantic parsing, as well as high-level NLP tasks such as named entity recognition. We publicly share the open-source Turkish NLP toolkit through a web interface that allows an input text to be analysed in real-time, as well as the open source implementation of the components provided in the toolkit, an API, and several annotated datasets such as word similarity test set to evaluate word embeddings and UCCA-based semantic annotation in Turkish. This will be the first open-source Turkish NLP toolkit that involves a range of NLP tasks in all levels. We believe that it will be useful for other researchers in Turkish NLP and will be also beneficial for other high-level NLP tasks in Turkish.

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A Statistical Approach to Analyzing Turkish Morphology

Altinok¹

2022

Advances in Automation, Mechanical and Design Engineering

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A Syntactically Expressive Morphological Analyzer for Turkish

Cited by 8 publications

References 17 publications

The diminutive morphological function between English and Pashto languages: a comparative study

The diminutive morphological function between English and Pashto languages: a comparative study

TurkishDelightNLP: A Neural Turkish NLP Toolkit

A Statistical Approach to Analyzing Turkish Morphology

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