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Botarleanu, Robert-Mihai; Dascalu, Mihai; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2020
A key writing skill is the capability to clearly convey desired meaning using available linguistic knowledge. Consequently, writers must select from a large array of idioms, vocabulary terms that are semantically equivalent, and discourse features that simultaneously reflect content and allow readers to grasp meaning. In many cases, a simplified…
Descriptors: Natural Language Processing, Writing Skills, Difficulty Level, Reading Comprehension
Fernando Prieto Ramos – Interpreter and Translator Trainer, 2024
Multi-componential models of translation competence are widely used in translator training as a yardstick for curricular and syllabus design. These models must be adapted to reflect professional trends, such as the impact of artificial intelligence, and machine translation in particular, on working methods. This paper describes the process of…
Descriptors: Translation, Second Language Learning, Second Language Instruction, Language Processing
Dongkawang Shin; Yuah V. Chon – Language Learning & Technology, 2023
Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…
Descriptors: Second Language Learning, Second Language Instruction, Translation, Computer Software
Alexander Rice – Language Documentation & Conservation, 2021
This paper presents a remote corpus work model that was developed between an outside researcher and community collaborator to continue transcription/translation work at a distance with previously collected material in response to the travel restrictions imposed by the coronavirus pandemic. The paper describes, in detail, the corpus work model,…
Descriptors: Video Technology, Language Maintenance, Documentation, Computational Linguistics
Olney, Andrew M. – Grantee Submission, 2021
This paper explores a general approach to paraphrase generation using a pre-trained seq2seq model fine-tuned using a back-translated anatomy and physiology textbook. Human ratings indicate that the paraphrase model generally preserved meaning and grammaticality/fluency: 70% of meaning ratings were above 75, and 40% of paraphrases were considered…
Descriptors: Translation, Language Processing, Error Analysis (Language), Grammar
Leeman-Munk, Samuel Paul – ProQuest LLC, 2016
The phenomenal growth of social media, web forums, and online reviews has spurred a growing interest in automated analysis of user-generated text. At the same time, a proliferation of voice recordings and efforts to archive culture heritage documents are fueling demand for effective automatic speech recognition (ASR) and optical character…
Descriptors: Morphology (Languages), Syntax, Content Analysis, Data Analysis
Roelofs, Ardi; Dijkstra, Ton; Gerakaki, Svetlana – Bilingualism: Language and Cognition, 2013
Whereas most theoretical and computational models assume a continuous flow of activation from concepts to lexical items in spoken word production, one prominent model assumes that the mapping of concepts onto words happens in a discrete fashion (Bloem & La Heij, 2003). Semantic facilitation of context pictures on word translation has been taken to…
Descriptors: Semantics, Translation, Computer Simulation, Computational Linguistics
Bach, Nguyen – ProQuest LLC, 2012
Dependency structures represent a sentence as a set of dependency relations. Normally the dependency structures from a tree connect all the words in a sentence. One of the most defining characters of dependency structures is the ability to bring long distance dependency between words to local dependency structures. Another the main attraction of…
Descriptors: Computational Linguistics, Translation, Sentences, English
El-Banna, Adel I.; Naeem, Marwa A. – Online Submission, 2016
This research work aimed at making use of Machine Translation to help students avoid some syntactic, semantic and pragmatic common errors in translation from English into Arabic. Participants were a hundred and five freshmen who studied the "Translation Common Errors Remedial Program" prepared by the researchers. A testing kit that…
Descriptors: Computational Linguistics, Translation, Statistical Analysis, Syntax
Cer, Daniel – ProQuest LLC, 2011
The goal of this dissertation is to determine the best way to train a statistical machine translation system. I first develop a state-of-the-art machine translation system called Phrasal and then use it to examine a wide variety of potential learning algorithms and optimization criteria and arrive at two very surprising results. First, despite the…
Descriptors: Computational Linguistics, Translation, Mathematics, Natural Language Processing
Akbari, Alireza – International Journal of Education and Literacy Studies, 2014
The petition for language translation has strikingly augmented recently due to cross-cultural communication and exchange of information. In order to communicate well, text should be translated correctly and completely in each field such as legal documents, technical texts, scientific texts, publicity leaflets, and instructional materials. In this…
Descriptors: Translation, Computational Linguistics, Models, Accuracy
Alekseyenko, Nataliya V. – ProQuest LLC, 2013
The present study is a corpus-based comparative investigation of Theme and thematic progression in English and Russian. While monolingual thematic studies have a long history in Linguistics, comparative studies are relatively few, in particular for the given language pair. In addition to filling the existing gap in the field of Translation…
Descriptors: Russian, Computational Linguistics, Translation, Language Research
Ture, Ferhan – ProQuest LLC, 2013
With the adoption of web services in daily life, people have access to tremendous amounts of information, beyond any human's reading and comprehension capabilities. As a result, search technologies have become a fundamental tool for accessing information. Furthermore, the web contains information in multiple languages, introducing another barrier…
Descriptors: Translation, Second Languages, Written Language, Computational Linguistics
van den Bosch, Antal; Daelemans, Walter – Language and Speech, 2013
Memory-based language processing (MBLP) is an approach to language processing based on exemplar storage during learning and analogical reasoning during processing. From a cognitive perspective, the approach is attractive as a model for human language processing because it does not make any assumptions about the way abstractions are shaped, nor any…
Descriptors: Memory, Schemata (Cognition), Language Processing, Thinking Skills
Zhao, Xiaowei; Li, Ping – Bilingualism: Language and Cognition, 2013
Cross-language priming is a widely used experimental paradigm in psycholinguistics to study how bilinguals' two languages are represented and organized. Researchers have observed a number of interesting patterns from the priming effects of both translation equivalents and semantically related word pairs across languages. In this study, we…
Descriptors: Semantics, Priming, Bilingualism, Psycholinguistics
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