Results 11 to 20 of about 14,660 (202)
Development of a Hindi Lemmatizer [PDF]
, 2013 We live in a translingual society, in order to communicate with people from different parts of the world we need to have an expertise in their respective languages.
Joshi, Nisheeth +2 more
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Simple data-driven context-sensitive lemmatization [PDF]
, 2006 Lemmatization for languages with rich inflectional morphology is one of the basic, indispensable steps in a language processing pipeline. In this paper we present a simple data-driven context-sensitive approach to lemmatizating word forms in running text.
Chrupała, Grzegorz
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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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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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Translating Speech to Indian Sign Language Using Natural Language Processing
Future Internet, 2022 Language plays a vital role in the communication of ideas, thoughts, and information to others. Hearing-impaired people also understand our thoughts using a language known as sign language.
Purushottam Sharma +4 more
doaj +1 more source
Hybrid lemmatization in HuSpaCy
, 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.
Berkecz, Péter +4 more
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Morphological Tagging and Lemmatization in the Albanian Language
SEEU Review, 2021 An important element of Natural Language Processing is parts of speech tagging. With fine-grained word-class annotations, the word forms in a text can be enhanced and can also be used in downstream processes, such as dependency parsing.
Mati Diellza Nagavci +2 more
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Developing Core Technologies for Resource-Scarce Nguni Languages
Information, 2021 The creation of linguistic resources is crucial to the continued growth of research and development efforts in the field of natural language processing, especially for resource-scarce languages.
Jakobus S. du Toit, Martin J. Puttkammer
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Revolutionizing bantu lexicography: a Zulu case study [PDF]
, 2010 Zulu uses a conjunctive writing system, that is, a system whereby relatively short linguistic words are joined together to form long orthographic words with complex morphological structures.
de Schryver, Gilles-Maurice
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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, Luděk Müller
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