Results 1 to 10 of about 4,321 (229)
Kurdish Kurmanji Lemmatization and Spell-checker with Spell-correction
UHD Journal of Science and Technology, 2023 There are many studies about using lemmatization and spell-checker with spell-correction regarding English, Arabic, and Persian languages but only few studies found regarding low-resource languages such as Kurdish language and more specifically for ...
Hanar Hoshyar Mustafa, Rebwar M. Nabi
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Hybrid lemmatization in HuSpaCy [PDF]
CoRR, 2023 Lemmatization is still not a trivial task for morphologically rich languages. Previous studies showed that hybrid architectures usually work better for these languages and can yield great results. This paper presents a hybrid lemmatizer utilizing both a neural model, dictionaries and hand-crafted rules.
Péter Berkecz +4 more
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Towards an Optimal Solution to Lemmatization in Arabic
Procedia Computer Science, 2018 Abstract Lemmatization—computing the canonical forms of words in running text—is an important component in any NLP system and a key preprocessing step for most applications that rely on natural language understanding. In the case of Arabic, lemmatization is a complex task because of the rich morphology, agglutinative aspects, and lexical ambiguity ...
Abed Alhakim Freihat +2 more
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The Lemmatization of Copulatives in Northern Sotho *
Lexikos, 2011 <p>Abstract: For learners of Northern Sotho as a second or even foreign language, the copulative system is probably the most complicated grammatical system to master. The encoding needs of such learners, i.e.
D.J. Prinsloo
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Korpus DIA1900: jeho koncepce a vytváření [PDF]
Časopis pro Moderní Filologii, 2023 The objective of the paper is to describe the principles for building the onemillionword DIA1900 Corpus consisting of Czech texts published between 1851 and 1900, designed to be both balanced and representative.
Lucie Benešová +4 more
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Universal Lemmatizer: A sequence-to-sequence model for lemmatizing Universal Dependencies treebanks [PDF]
Natural Language Engineering, 2020 AbstractIn this paper, we present a novel lemmatization method based on a sequence-to-sequence neural network architecture and morphosyntactic context representation. In the proposed method, our context-sensitive lemmatizer generates the lemma one character at a time based on the surface form characters and its morphosyntactic features obtained from a ...
Jenna Kanerva +2 more
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Advances in the automatic lemmatization of Old English: class V strong verbs (L-Y)
Revista de Lingüística y Lenguas Aplicadas, 2022 The grammatical description of Old English lacks complete and systematic lemmatization, which hinders Natural Language Processing studies in this language, as they strongly rely on the existence of large, annotated corpora.
Roberto Torre Alonso
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BaNeL: an encoder-decoder based Bangla neural lemmatizer
SN Applied Sciences, 2022 This study presents an efficient framework of deriving lemma from an inflected Bangla word considering its parts-of-speech as context. Bangla is a morphologically rich Indo-Aryan language where around 70% words are inflected, and some words have around ...
Md. Ashraful Islam +4 more
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An alternative proposal for eliciting key words [PDF]
English Studies at NBU, 2015 The article reports research on the concept of key words as statistically significant items in a text or corpus. It reviews approaches to eliciting key words used in various software products for language analysis and the rationale for adopting them ...
Elena Tarasheva
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Enhancing Accuracy of Semantic Relatedness Measurement by Word Single-Meaning Embeddings
IEEE Access, 2021 We propose a lightweight algorithm of learning word single-meaning embeddings (WSME), by exploring WordNet synsets and Doc2vec document embeddings, to enhance the accuracy of semantic relatedness measurement.
Xiaotao Li, Shujuan You, Wai Chen
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