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Relevant bibliographies by topics / Multiwords

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Academic literature on the topic 'Multiwords'

Author: Grafiati

Published: 10 March 2023

Last updated: 31 July 2025

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Journal articles on the topic "Multiwords"

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COWIE, A. P. "Multiwords Units in Newspaper Language." Cahiers de l'Institut de Linguistique de Louvain 17, no. 1 (1991): 101–16. http://dx.doi.org/10.2143/cill.17.1.2016699.

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Bruyère, Véronique, Olivier Carton, Alexandre Decan, Olivier Gauwin, and Jef Wijsen. "An aperiodicity problem for multiwords." RAIRO - Theoretical Informatics and Applications 46, no. 1 (2011): 33–50. http://dx.doi.org/10.1051/ita/2011131.

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Jost, David, and Win Carus. "Computing Business Multiwords: Computational Linguistics in Support of Lexicography." Dictionaries: Journal of the Dictionary Society of North America 24, no. 1 (2003): 59–83. http://dx.doi.org/10.1353/dic.2003.0001.

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Piunno, Valentina. "Multiword Modifiers in some Romance languages. Semantic formats and syntactic templates." Yearbook of Phraseology 7, no. 1 (2016): 3–34. http://dx.doi.org/10.1515/phras-2016-0002.

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Abstract This paper focuses on a specific type of Multiword Expressions, particularly widespread in Italian as well as in other Romance languages: Multiword Modifiers, i.e. prepositional phrases functioning as modifiers of a noun (Multiword Adjectives) and of a verb (Multiword Adverbs). Exploiting both syntactic and semantic analysis, this paper explores the hypothesis that Multiword Modifiers are formed on the basis of regular syntactic templates, which can structure and organize the semantic information associated with words. In this perspective, after a brief presentation of Multiword Lexic

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Boers, Frank, June Eyckmans, and Hélène Stengers. "Motivating multiword units." EUROSLA Yearbook 6 (July 20, 2006): 169–90. http://dx.doi.org/10.1075/eurosla.6.11boe.

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In recent years, many educational linguists have emphasised the importance of drawing language learners’ attention to multiword units (i.e., strong collocations, idioms, etc.), because knowledge of such units is believed to help learners come across as fluent, native-like and accurate L2 speakers. We report a controlled experiment the results of which support this belief. The question now is how learners can be helped to commit multiword units to memory. We borrow insights from Cognitive Linguistics, which, contrary to other frameworks, holds that the meaning and the lexical composition of man

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Villavicencio, Aline, and Marco Idiart. "Discovering multiword expressions." Natural Language Engineering 25, no. 06 (2019): 715–33. http://dx.doi.org/10.1017/s1351324919000494.

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AbstractIn this paper, we provide an overview of research on multiword expressions (MWEs), from a natural language processing perspective. We examine methods developed for modelling MWEs that capture some of their linguistic properties, discussing their use for MWE discovery and for idiomaticity detection. We concentrate on their collocational and contextual preferences, along with their fixedness in terms of canonical forms and their lack of word-for-word translatatibility. We also discuss a sample of the MWE resources that have been used in intrinsic evaluation setups for these methods.

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Feifei, Yan. "A REVIEW OF INCIDENTAL LEARNING OF VOCABULARY AND COLLOCATION IN DIFFERENT MODES OF INPUT." International Journal of Education Humanities and Social Science 06, no. 01 (2023): 149–55. http://dx.doi.org/10.54922/ijehss.2023.0480.

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More and more attention has been paid to the incidental learning of vocabulary and multiword expressions in different modes of input in recent years. This paper reviews empirical studies that have examined the incidental learning of vocabulary and multiword expressions in four modes of second language input (reading, listening, watching, and reading while listening). It was found that most studies concentrated on the learning of vocabulary and collocations rather than other types of multiword expressions. More attention should be paid to the incidental learning of different types of multiword

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Arnon, Inbal, and Uriel Cohen Priva. "Time and again." Mental Lexicon 9, no. 3 (2014): 377–400. http://dx.doi.org/10.1075/ml.9.3.01arn.

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There is growing evidence that multiword information affects processing. In this paper, we look at the effect of word and multiword frequency on the phonetic duration of words in spontaneous speech to (a) extend previous findings and (b) ask whether the relation between word and multiword information changes across the frequency continuum. If highly frequent sequences are stored holistically, then the effect of word frequency should disappear. If alternatively, increased sequence usage causes a change in the prominence of word and multiword information, we should see reduced effects of word fr

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Green, Spence, Marie-Catherine de Marneffe, and Christopher D. Manning. "Parsing Models for Identifying Multiword Expressions." Computational Linguistics 39, no. 1 (2013): 195–227. http://dx.doi.org/10.1162/coli_a_00139.

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Multiword expressions lie at the syntax/semantics interface and have motivated alternative theories of syntax like Construction Grammar. Until now, however, syntactic analysis and multiword expression identification have been modeled separately in natural language processing. We develop two structured prediction models for joint parsing and multiword expression identification. The first is based on context-free grammars and the second uses tree substitution grammars, a formalism that can store larger syntactic fragments. Our experiments show that both models can identify multiword expressions

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Yan, Feifei. "A Review of the Effects of Frequency and Congruency on the Processing of Multiword Expressions." International Journal of Linguistics, Literature and Translation 5, no. 5 (2022): 165–73. http://dx.doi.org/10.32996/ijllt.2022.5.5.20.

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More and more attention has been paid to the processing of multiword expressions in recent years. This paper reviews empirical studies that have examined the effects of frequency and congruency and their interactive role on the processing of multiword expressions. The results indicated that although frequency and congruency influence the processing of all kinds of multiword expressions, the studies mostly concentrate on collocations; their interactive role with proficiency has not been specified; research exploring the effect of congruency is limited to translational congruency. Future studies

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Dissertations / Theses on the topic "Multiwords"

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Monti, Johanna. "Multi-word unit processing in machine translation. Developing and using language resources for multi-word unit processing in machine translation." Doctoral thesis, Universita degli studi di Salerno, 2015. http://hdl.handle.net/10556/2042.

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Waszczuk, Jakub. "Leveraging MWEs in practical TAG parsing : towards the best of the two worlds." Thesis, Tours, 2017. http://www.theses.fr/2017TOUR4024/document.

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Dans ce mémoire, nous nous penchons sur les expressions polylexicales (EP) et leurs relations avec l’analyse syntaxique, la tâche qui consiste à déterminer les relations syntaxiques entre les mots dans une phrase donnée. Le défi que posent les EP dans ce contexte, par rapport aux expressions linguistiques régulières, provient de leurs propriétés parfois inattendues qui les rendent difficiles à gérer dans te traitement automatique des langues. Dans nos travaux, nous montrons qu’il est pourtant possible de profiter de ce cette caractéristique des EP afin d’améliorer les résultats d’analyse synta

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Su, Kim Nam. "Statistical modeling of multiword expressions." Connect to thesis, 2008. http://repository.unimelb.edu.au/10187/3147.

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In natural languages, words can occur in single units called simplex words or in a group of simplex words that function as a single unit, called multiword expressions (MWEs). Although MWEs are similar to simplex words in their syntax and semantics, they pose their own sets of challenges (Sag et al. 2002). MWEs are arguably one of the biggest roadblocks in computational linguistics due to the bewildering range of syntactic, semantic, pragmatic and statistical idiomaticity they are associated with, and their high productivity. In addition, the large numbers in which they occur demand specialized

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Korkontzelos, Ioannis. "Unsupervised learning of multiword expressions." Thesis, University of York, 2010. http://etheses.whiterose.ac.uk/2091/.

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Multiword expressions are expressions consisting of two or more words that correspond to some conventional way of saying things (Manning & Schutze 1999). Due to the idiomatic nature of many of them and their high frequency of occurence in all sorts of text, they cause problems in many Natural Language Processing (NLP) applications and are frequently responsible for their shortcomings. Efficiently recognising multiword expressions and deciding the degree of their idiomaticity would be useful to all applications that require some degree of semantic processing, such as question-answering, summari

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Taslimipoor, Shiva. "Automatic identification and translation of multiword expressions." Thesis, University of Wolverhampton, 2018. http://hdl.handle.net/2436/622068.

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Multiword Expressions (MWEs) belong to a class of phraseological phenomena that is ubiquitous in the study of language. They are heterogeneous lexical items consisting of more than one word and feature lexical, syntactic, semantic and pragmatic idiosyncrasies. Scholarly research on MWEs benefits both natural language processing (NLP) applications and end users. This thesis involves designing new methodologies to identify and translate MWEs. In order to deal with MWE identification, we first develop datasets of annotated verb-noun MWEs in context. We then propose a method which employs word emb

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Cordeiro, Silvio Ricardo. "Distributional models of multiword expression compositionality prediction." Thesis, Aix-Marseille, 2017. http://www.theses.fr/2017AIXM0501/document.

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Les systèmes de traitement automatique des langues reposent souvent sur l'idée que le langage est compositionnel, c'est-à-dire que le sens d'une entité linguistique peut être déduite à partir du sens de ses parties. Cette supposition ne s’avère pas vraie dans le cas des expressions polylexicales (EPLs). Par exemple, une "poule mouillée" n'est ni une poule, ni nécessairement mouillée. Les techniques pour déduire le sens des mots en fonction de leur distribution dans le texte ont obtenu de bons résultats sur plusieurs tâches, en particulier depuis l'apparition des word embeddings. Cependant, la

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Cordeiro, Silvio Ricardo. "Distributional models of multiword expression compositionality prediction." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2018. http://hdl.handle.net/10183/174519.

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Sistemas de processamento de linguagem natural baseiam-se com frequência na hipótese de que a linguagem humana é composicional, ou seja, que o significado de uma entidade linguística pode ser inferido a partir do significado de suas partes. Essa expectativa falha no caso de expressões multipalavras (EMPs). Por exemplo, uma pessoa caracterizada como pão-duro não é literalmente um pão, e também não tem uma consistência molecular mais dura que a de outras pessoas. Técnicas computacionais modernas para inferir o significado das palavras com base na sua distribuição no texto vêm obtendo um consider

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Alghamdi, Ayman Ahmad O. "A computational lexicon and representational model for Arabic multiword expressions." Thesis, University of Leeds, 2018. http://etheses.whiterose.ac.uk/22821/.

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The phenomenon of multiword expressions (MWEs) is increasingly recognised as a serious and challenging issue that has attracted the attention of researchers in various language-related disciplines. Research in these many areas has emphasised the primary role of MWEs in the process of analysing and understanding language, particularly in the computational treatment of natural languages. Ignoring MWE knowledge in any NLP system reduces the possibility of achieving high precision outputs. However, despite the enormous wealth of MWE research and language resources available for English and some ot

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Obermeier, Andrew Stanton. "Multiword Units at the Interface: Deliberate Learning and Implicit Knowledge Gains." Diss., Temple University Libraries, 2015. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/360635.

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Language Arts<br>Ed.D.<br>Multiword units (MWUs) is a term used in the current study to broadly cover what second language acquisition (SLA) researchers refer to as collocations, conventional expressions, chunks, idioms, formulaic sequences, or other such terms, depending on their research perspective. They are ubiquitous in language and essential in both first language (L1) and second language (L2) acquisition. Although MWUs are typically learned implicitly while using language naturally in both of these types of acquisition, the current study is an investigation of whether they are acquired

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GARRAO, MILENA DE UZEDA. "THE CORPUS NEVER LIES: ON THE IDENTIFICATION AND USE OF MULTIWORD EXPRESSIONS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2006. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=8873@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>Muitos estudos recentes sobre a identificação e uso de combinações multivocabulares (CMs) adotam uma perspectiva representacionista do significado da palavra. Este estudo propõe que é muito mais interessante identificar as CMs por um olhar não-representacionista. A metodologia proposta foi testada em CMs do tipo V+SN, um padrão bastante freqüente no português do Brasil (PB). Trata-se de uma análise estatística com base em córpus que pode ser resumida em três etapas: 1) córpus robusto do PB como base de análise, 2) aplicação

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Books on the topic "Multiwords"

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Ramisch, Carlos. Multiword Expressions Acquisition. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09207-2.

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Wang, Shan. Chinese Multiword Expressions. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-8510-0.

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Brunner, Annelen. Wortverbindungsfelder - fields of multiword expressions. Institut für Deutsche Sprache, Bibliothek, 2015.

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Mitkov, Ruslan, Johanna Monti, Gloria Corpas Pastor, and Violeta Seretan, eds. Multiword Units in Machine Translation and Translation Technology. John Benjamins Publishing Company, 2018. http://dx.doi.org/10.1075/cilt.341.

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Life, James. Patterns in English Multiword Vocabulary. Createspace Independent Publishing Platform, 2016.

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Bielinskienė, Agnė, Loic Boizou, Ieva Bumbulienė, et al. Database of Lithuanian multiword expressions. Baltic Institute of Advanced Technology, Vytautas Magnus University, 2019. http://dx.doi.org/10.7220/20.500.12259/240289.

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Bielinskienė, Agnė, Loic Boizou, Ieva Bumbulienė, et al. The Database of Lithuanian multiword expressions. Vytautas Magnus University, 2022. http://dx.doi.org/10.7220/20.500.12259/240653.

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Wang, Shan. Chinese Multiword Expressions: Theoretical and Practical Perspectives. Springer, 2019.

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Wang, Shan. Chinese Multiword Expressions: Theoretical and Practical Perspectives. Springer Singapore Pte. Limited, 2021.

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Wang, Shan. Chinese Multiword Expressions: Theoretical and Practical Perspectives. Springer, 2019.

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Book chapters on the topic "Multiwords"

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Arranz, Victoria, Jordi Atserias, and Mauro Castillo. "Multiwords and Word Sense Disambiguation." In Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30586-6_28.

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Thanopoulos, Aristomenis, Nikos Fakotakis, and George Kokkinakis. "Identification of Multiwords as Preprocessing for Automatic Extraction of Lexical Similarities." In Text, Speech and Dialogue. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39398-6_14.

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Zwier, Lawrence J., and Frank Boers. "Multiword Expressions." In English L2 Vocabulary Learning and Teaching. Routledge, 2022. http://dx.doi.org/10.4324/9781003172994-3.

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Macaro, Ernesto, and Mark Searle. "Multiword Units." In Navigating English Medium Instruction. Routledge, 2025. https://doi.org/10.4324/9781003544241-34.

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Ramisch, Carlos. "Introduction." In Multiword Expressions Acquisition. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09207-2_1.

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Ramisch, Carlos. "Definitions and Characteristics." In Multiword Expressions Acquisition. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09207-2_2.

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Ramisch, Carlos. "State of the Art in MWE Processing." In Multiword Expressions Acquisition. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09207-2_3.

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Ramisch, Carlos. "Evaluation of MWE Acquisition." In Multiword Expressions Acquisition. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09207-2_4.

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Ramisch, Carlos. "A New Framework for MWE Acquisition." In Multiword Expressions Acquisition. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09207-2_5.

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Ramisch, Carlos. "Application 1: Lexicography." In Multiword Expressions Acquisition. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09207-2_6.

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Conference papers on the topic "Multiwords"

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Silva, Edson Marchetti da, and Renato Rocha Souza. "Comparing three different techniques to retrieve documents using multiwords expressions." In 10th CONTECSI International Conference on Information Systems and Technology Management. TECSI, 2013. http://dx.doi.org/10.5748/9788599693094-10contecsi/ps-286.

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Zakharov, Victor, Anastasia Golovina, and Irina Azarova. "STATISTICAL ANALYSIS OF RUSSIAN MULTIWORD PREPOSITIONS." In NORDSCI International Conference. SAIMA Consult Ltd, 2020. http://dx.doi.org/10.32008/nordsci2020/b1/v3/20.

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This paper is part of a larger study that aims to create the first quantitative grammar of the Russian prepositional system. The present study deals with Russian secondary multiword prepositions. Prepositions are a heterogeneous class consisting of a small group of about 25 primary prepositions and hundreds of secondary ones, the latter being motivated by content words (nouns, adverbs, verbs), which may be combined with primary prepositions to form multiword prepositions (MWPs). A strict division between secondary multiword prepositions and equivalent free word combinations is not specified. T

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Dias, Gaël. "Multiword unit hybrid extraction." In the ACL 2003 workshop. Association for Computational Linguistics, 2003. http://dx.doi.org/10.3115/1119282.1119288.

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Baldwin, Timothy. "Compositionality and multiword expressions." In the Workshop. Association for Computational Linguistics, 2006. http://dx.doi.org/10.3115/1613692.1613693.

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Goodkind, Adam, and Andrew Rosenberg. "Muddying The Multiword Expression Waters: How Cognitive Demand Affects Multiword Expression Production." In Proceedings of the 11th Workshop on Multiword Expressions. Association for Computational Linguistics, 2015. http://dx.doi.org/10.3115/v1/w15-0914.

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Berk, Gozde, Berna Erden, and Tunga Gungor. "Turkish verbal multiword expressions corpus." In 2018 26th Signal Processing and Communications Applications Conference (SIU). IEEE, 2018. http://dx.doi.org/10.1109/siu.2018.8404583.

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Potemkin, Serge. "Multiword Terms and Machine Translation." In Third International Conference, Europhras 2019, Computational and Corpus-Based Phraseology. Editions Tradulex, Geneva, 2019. http://dx.doi.org/10.26615/978-2-9701095-6-3_018.

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Villavicencio, Aline. "Multiword Expressions Under the Microscope." In Third International Conference, Europhras 2019, Computational and Corpus-Based Phraseology. Editions Tradulex, Geneva, 2019. http://dx.doi.org/10.26615/978-2-9701095-6-3_023.

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Papka, Ron, and James Allan. "Document classification using multiword features." In the seventh international conference. ACM Press, 1998. http://dx.doi.org/10.1145/288627.288648.

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Van de Cruys, Tim, and Begoña Villada Moirón. "Semantics-based multiword expression extraction." In the Workshop. Association for Computational Linguistics, 2007. http://dx.doi.org/10.3115/1613704.1613708.

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Reports on the topic "Multiwords"

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Aroonmanakun, Wirote. Thoughts on word and sentence segmentation in Thai. Chulalongkorn University, 2007. https://doi.org/10.58837/chula.res.2007.92.

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This paper discusses problems of word and sentence segmentation in Thai. Disagreements on word segmentation are caused mostly from compound words. To set a standard resource and tool of word segmentation, we suggest that only simple words and true compound words should be segmented in the process of word segmentation. Other compounds can be grouped later by the same means as multiword identification in other languages. Sentence segmentation is also difficult because the boundary of sentence in Thai is fuzzy. We suggest that a discourse should be seen as a combination of clauses rather than sen

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