Showing 101 - 120 results of 562 for search '"Sentences"', query time: 0.06s Refine Results
  1. 101

    FOREIGNIZATION AND DOMESTICATION IN THE MINISTERIAL WEBSITE LOCALIZATION by Ely Hayati Nasution, Roswita Silalahi, Vivi Adryani Nasution

    Published 2019-08-01
    “…The source of data was taken from five (5) popular news along 2018 which were broken down into 191 data analyzed, consisting of 5 headlines in the form of phrases and sentences, contents totally written in 161 sentences, and 25 sub-contents in the form of words, phrases, clauses, and sentences. …”
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    Article
  2. 102

    Query-Based Extractive Multi-Document Summarization Using Paraphrasing and Textual Entailment by Ali Naserasadi

    Published 2020-09-01
    “…In this approach the sentences of input documents are clustered according to paraphrasing relation and then the entailment score and final score of a fraction of the header sentences of clusters which have the best score according to the user query is calculated. …”
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  3. 103

    Compositional analysis of interrogative imperatives in Hungarian by Judit Kleiber, Gábor Alberti

    Published 2017-12-01
    “…Our goal is to demonstrate how these sentences can be analyzed compositionally within a belief–desire–intention frame. …”
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  4. 104

    THE TRANSLATION OF INFORMATION PATTERN FOR I CARE A LOT MOVIE SUBTITLE FROM ENGLISH TO INDONESIAN by Sajarwa Sajarwa, Aulia Addinillah A, Nadia Khumairo Mash’umah, Cynthia Yanda, Ahmad Khalid M. Al-maziidi

    Published 2021-10-01
    “…The results of the study indicate that (i) there are parallels in information pattern urgency, namely foreground position tends to be in the beginning of the speech; (ii) the misalignment of information status occurs in sentences translation with it subject and that impersonal and in interrogative and imperative sentences translation, as well as in sentences translation with the non-doer subject. …”
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  5. 105

    The Problems of Oral Production of Speech Sounds in the Teaching and Learning of English Grammar by IDEGU A. SOLOMON

    Published 2022-12-01
    “…There are words that look alike and are similar in spellings, but it is through correct pronunciation of these words that they can be classified in terms of function and meaning. Sentences, of course, have distinguishing features, according to their types and the correct oral presentation of the sentences projects the type, function and structure easily. …”
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  6. 106

    Introducing STAF: The Saarbrücken Treebank of Albanian Fiction by Luigi Talamo

    Published 2025-01-01
    “…STAF was bootstrapped using a Stanza model trained on previously unreleased data and then manually corrected by three Albanian speakers supervised by the author, who also revised all sentences. STAF focuses on the fiction genre, featuring 200 sentences selected from nine literary texts written by Albanian contemporary authors.…”
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  7. 107

    ChatBlock: A Block-Based Chatbot Framework for Supporting Young Learners and the Classroom Authoring for Teachers by Chutiporn Anutariya, Hathaichanok Chawmungkrung, Watanee Jearanaiwongkul, Teeradaj Racharak

    Published 2024-12-01
    “…ChatBlock Tutor is designed as a block-based interface to support young students to connect various types of blocks for creating sentences. The formulated block-based sentences are used to make a conversation with the chatbot. …”
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  8. 108

    Ad hoc properties and locations in Maltese by Gréte Dalmi

    Published 2015-12-01
    “…The proposal extends to non-verbal predicates in copular sentences as well as to argument and adjunct non-verbal predicates in non-copular sentences. …”
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  9. 109

    Dziecko w środowisku pieniądza: przekonania podzielane przez dzieci w wieku 8–9 lat by Renata Raszka

    Published 2020-11-01
    “…Third grade primary school pupils who took part in the study have expressed their view of money by completing twelve incomplete sentences about money. The aim of the study was to find children’s shared beliefs about money. …”
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  10. 110

    Peningkatan Akurasi Mesin Penerjemah Bahasa Inggris - Indonesia dengan Memaksimalkan Kualitas dan Kuantitas Korpus Paralel by Herry Sujaini

    Published 2020-05-01
    “…This study uses the bilingual evaluation understudy (BLEU) method to classify pairs of parallel sentences as high-quality or bad sentences. This method is applied to a parallel corpus containing 1.5 M parallel English-Indonesian sentence pairs and obtaining 900K pairs of high-quality parallel sentences. …”
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  11. 111

    Proposed Method for Note Detection and Automatic Identification of the Melody Models (Gusheh) in Iranian Traditional Music with Micro Approach by Amir Vafaeian, Keivan Borna, Hamed Sajedi, Dariush Alimohammadi, Pouya Sarai

    Published 2020-09-01
    “…In this approach the sentences of input documents are clustered according to paraphrasing relation and then the entailment score and final score of a fraction of the header sentences of clusters which have the best score according to the user query is calculated. …”
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    Article
  12. 112

    MORPHOSYNTACTIC ABILITIES IN CHILD WITH INTELETUAL DISABILITIES: CASE STUDY by Kumaralalitya Wisnu Pambayun, Agus Subiyanto

    Published 2023-05-01
    “…From this research it can be concluded that KH in making sentences is capable and in accordance with sentence elements such as Subj-Pred-Obj-Ket-Conj. …”
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  13. 113

    Cross-Linguistic Similarity Evaluation Techniques Based on Deep Learning by Jun Li, Jing Zhang, Mengjie Qian

    Published 2022-01-01
    “…The final output part is the similarity of the bilingual sentences and is optimized by optimizing the parameters of each layer in the framework. …”
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  14. 114

    Contribution à une étude des constructions antéposées du type : « En homme intelligent et humain, il partagea tout de suite l'inquiétude de Marcel » (J. Verne) by Denis Vigier

    Published 2008-07-01
    “…We show that the semantic scope of these constituents and the judgement they express vary significantly according to their position (at the head of the sentence versus after the verb). We insist finally on the frequently polyphonic dimension of the sentences in which these constituents appear.…”
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  15. 115

    CODE-SWITCHING IN INDONESIAN POPULAR SONGS AND THE IMPLICATIONS FOR ENGLISH LANGUAGE TEACHING by Rahmawaty Kadir

    Published 2021-02-01
    “…This analysis reveals that four types of code-switching occur in the lyrics of Indonesian popular songs: code-switching between sentences (intersentential), code-switching within sentences (intrasentential), code-switching involving changes of pronunciation, and emblematic code-switching. …”
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  16. 116

    Headline-Guided Extractive Summarization for Thai News Articles by Pimpitchaya Kositcharoensuk, Nakarin Sritrakool, Ploy N. Pratanwanich

    Published 2025-01-01
    “…Our model utilizes a pre-trained language model to capture complex language semantics and assigns a probability to each sentence to be included in the summary. By leveraging the headline to guide sentence selection, CHIMA enhances the model’s ability to recover important sentences and discount irrelevant ones. …”
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  17. 117

    Automatically generated language learning exercises for Finno-Ugric languages by Zsanett Ferenczi

    Published 2023-12-01
    “…These sentences were automatically annotated with the help of language processing tools. …”
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  18. 118

    TurkMedNLI: a Turkish medical natural language inference dataset through large language model based translation by İskender Ülgen Oğul, Fatih Soygazi, Belgin Ergenç Bostanoğlu

    Published 2025-01-01
    “…Later, the processed sentences are then translated using Facebook’s No Language Left Behind (NLLB) translation model. …”
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  19. 119

    Comparison of algorithms for the recognition of ChatGPT paraphrased texts by Aleksandar Kartelj, Miljana Mladenović, Staša Vujičić Stanković

    Published 2025-02-01
    “…GPT-paraphrased English texts showed that 3.2% of sentences remain the same, and they are found in 16% of documents. …”
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  20. 120

    Fausses infinitives de but et mirativité by Geneviève Girard-Gillet

    Published 2020-10-01
    “…For the type a) sentences the utterer is expressing his derogatory point of view and giving his personal explanation to what occurred. …”
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