Results 11 to 20 of about 4,321 (229)
Lemmatization of Polish person names [PDF]
Proceedings of the Workshop on Balto-Slavonic Natural Language Processing Information Extraction and Enabling Technologies - ACL '07, 2007 The paper presents two techniques for lemmatization of Polish person names. First, we apply a rule-based approach which relies on linguistic information and heuristics. Then, we investigate an alternative knowledge-poor method which employs string distance measures. We provide an evaluation of the adopted techniques using a set of newspaper texts.
Piskorski, Jakub +2 more
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Joint Lemmatization and Morphological Tagging with Lemming [PDF]
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015 We present LEMMING, a modular log-linear model that jointly models lemmatization and tagging and supports the integration of arbitrary global features. It is trainable on corpora annotated with gold standard tags and lemmata and does not rely on morphological dictionaries or analyzers.
Thomas Müller 0009 +3 more
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Contextual Urdu Lemmatization Using Recurrent Neural Network Models [PDF]
Mathematics, 2023 In the field of natural language processing, machine translation is a colossally developing research area that helps humans communicate more effectively by bridging the linguistic gap.
Rabab Hafeez +7 more
doaj +2 more sources
Lemmatization with reversed dictionary and fuzzy sets
SHS Web of Conferences, 2018 This paper deals with the problem of lemmatization of unknown words in Russian and German. For this purpose, the improved analogy method is used. The analogy method being built around reverse dictionary is very efficient and simple to realize.
Gashkov Alexander, Eltsova Mariia
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Italian Lemmatization by Rules with Getaruns [PDF]
, 2013 We present an approach to lemmatization based on exhaustive morphological analysis and use of external knowledge sources to help disambiguation which is the most relevant issue to cope with. Our system GETARUNS was not concerned with lemmatization directly and used morphological analysis only as backoff solution in case the word was not retrieved in ...
DELMONTE, Rodolfo +2 more
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INTERNATIONAL SYSTEM OF KNOWLEDGE EXCHANGE FOR YOUNG SCIENTISTS
Сучасні інформаційні системи, 2021 The paper proposes a system which is electronic data storage (of qualification works of students from different countries) and provides the capability to identify and connect young scientists conducting research on a related problem area. The purpose of
Olesia Barkovska +3 more
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Automatic Lemmatizer Construction with Focus on OOV Words Lemmatization [PDF]
, 2005 This paper deals with the automatic construction of a lemmatizer from a Full Form – Lemma (FFL) training dictionary and with lemmatization of new, in the FFL dictionary unseen, i.e. out-of-vocabulary (OOV) words. Three methods of lemmatization of three kinds of OOV words (missing full forms, unknown words, and compound words) are introduced.
Jakub Kanis, Ludek Müller
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Entropy, 2020 A complex network as an abstraction of a language system has attracted much attention during the last decade. Linguistic typological research using quantitative measures is a current research topic based on the complex network approach.
Aldo Ramirez-Arellano
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Neural Lemmatization of Multiword Expressions [PDF]
Proceedings of the Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019), 2019 This article focuses on the lemmatization of multiword expressions (MWEs). We propose a deep encoder-decoder architecture generating for every MWE word its corresponding part in the lemma, based on the internal context of the MWE. The encoder relies on recurrent networks based on (1) the character sequence of the individual words to capture their ...
Marine Schmitt, Mathieu Constant
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nikopartanen/old-literary-finnish-lemmatization: Old Literary Finnish Lemmatization Dataset
, 2021 This is a dataset that contains randomly selected and manually lemmatized sentences from the corpus of Old Literary Finnish. Please cite and consult the original corpus as well: Institute for the Languages of Finland (2013).
Niko Partanen +3 more
core +1 more source