Masaki Eguchi
Biographic Data
| ID | 4621394 |
|---|---|
| NAME | Masaki Eguchi |
| GIVEN NAMES | Masaki |
| FAMILY NAME | Eguchi |
| SIGNATURE | EGUCHI M |
| AFFILIATIONS | University of Oregon |
| ORCID | 0000-0002-0791-4935 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 10 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Automated Writing Evaluation
Automated Writing Evaluation (AWE) and Scoring refers to the application of artificial intelligence in writing assessment, including assigning scores and providing formative feedback. To date, AWE systems are widely used to give scores on test‐takers' performance in several high‐stakes tests such as TOEFL iBT ® , as well as to augment classroom writing instructions. In the last decade, the field of AWE has experienced transformative changes due t…
Human‐ versus artificial intelligence‐delivered roleplay tasks for assessing interactional competence
This study investigates the nature of co‐construction in roleplays conducted with human versus AI interlocutors for assessing interactional competence (IC) in L2 English. Seventy‐five university students in Japan completed roleplay tasks with both human tutors and an AI agent. The AI agent is a multimodal dialog system integrated with a large language model (LLM), designed to allow synchronous interaction with the participant through autonomous t…
Evaluating evidence for the reliability and validity of lexical diversity indices in L2 oral task responses
Although lexical diversity is often used as a measure of productive proficiency (e.g., as an aspect of lexical complexity) in SLA studies involving oral tasks, relatively little research has been conducted to support the reliability and/or validity of these indices in spoken contexts. Furthermore, SLA researchers commonly use indices of lexical diversity such as Root TTR (Guiraud’s index) and D (vocd-D and HD-D) that have been preliminarily shown…
Exploring the potential of using an AI language model for automated essay scoring
The widespread adoption of ChatGPT, an AI language model, has the potential to bring about significant changes to the research, teaching, and learning of foreign languages. The present study aims to leverage this technology to perform automated essay scoring (AES) and evaluate its reliability and accuracy. Specifically, we utilized the GPT-3 text-davinci-003 model to automatically score all 12,100 essays contained in the ETS Corpus of Non-Native …
L2 collocation profiles and their relationship with vocabulary proficiency
Assessing spoken lexical and lexicogrammatical proficiency using features of word, bigram, and dependency bigram use
The measurement of second language (L2) productive lexical proficiency has driven a great deal of research over the past two decades. Research has indicated that more proficient speakers and writers tend to use a wider range of words and that more proficient writers tend to use words that are more sophisticated (less frequent in reference corpora). Research over the past 15 years has also demonstrated that the way words are used in context (i.e.,…
Lexical Competence Underlying Second Language Word Association Tasks
This study investigated the constructs underlying second language (L2) word association (WA) with regard to three dimensions of lexical competence—size, organization, and accessibility—and the lexical performance of speech. One-hundred and thirteen Japanese learners of English completed a computer-delivered oral WA task along with three vocabulary tasks: a form-recall gap-filling task (size), a primed lexical decision task (organization and acces…
Register variation in spoken and written language use across technology-mediated and non-technology-mediated learning environments
In the realm of language proficiency assessments, the domain description inference and the extrapolation inference are key components of a validity argument. Biber et al.’s description of the lexicogrammatical features of the spoken and written registers in the T2K-SWAL corpus has served as support for the TOEFL iBT test’s domain description and extrapolation inferences. In the time since the T2K-SWAL corpus was collected, however, university lea…
The role of input modality and vocabulary knowledge in alignment in reading-to-speaking tasks
Our study investigated lexical alignment in a reading-to-speaking task, in two modalities of input text presentation. We also explored whether participants’ vocabulary knowledge moderates the effects of text modality and difficulty on lexical alignment. We addressed these questions by analyzing lexical overlap in the speech of 128 Japanese learners of English. Students were asked to summarize the information given in two different expository info…
Does the Reuse of Constructions Promote Fluency Development in Task Repetition? A Usage‐Based Perspective
In this task‐repetition intervention study, L2 learners’ reuse of linguistic constructions was analyzed to investigate to what extent recurring reliance on specific constructions during the same task repetition predicts fluency development. English‐as‐a‐foreign‐language (EFL) learners performed oral narrative tasks three times per day under two task repetition schedules: blocked (Day 1: Prompt A‐A‐A, Day 2: B‐B‐B, Day 3: C‐C‐C) versus interleaved…
To What Extent is Collocation Knowledge Associated with Oral Proficiency? A Corpus-Based Approach to Word Association
This study examined the relationship between second language (L2) learners’ collocation knowledge and oral proficiency. A new approach to measuring collocation was adopted by eliciting responses through a word association task and using corpus-based measures (absolute frequency count, t-score, MI score) to analyze the degree to which stimulus words and responses were collocated. Oral proficiency was measured using human judgements and objective m…
Continuing to Explore the Multidimensional Nature of Lexical Sophistication
Lexical sophistication has been an important indicator of productive lexical proficiency for almost 30 years. Although lexical sophistication has most often been operationalized as the proportion of low frequency words in a text, a growing body of research has indicated that a number of indices such as concreteness, hypernymy, and n‐gram association strengths meaningfully contribute to the construct. While the increase in available indices has ex…
Does the Reuse of Constructions Promote Fluency Development in Task Repetition? A Usage‐Based Perspective
In this task‐repetition intervention study, L2 learners’ reuse of linguistic constructions was analyzed to investigate to what extent recurring reliance on specific constructions during the same task repetition predicts fluency development. English‐as‐a‐foreign‐language (EFL) learners performed oral narrative tasks three times per day under two task repetition schedules: blocked (Day 1: Prompt A‐A‐A, Day 2: B‐B‐B, Day 3: C‐C‐C) versus interleaved…
The role of input modality and vocabulary knowledge in alignment in reading-to-speaking tasks
Our study investigated lexical alignment in a reading-to-speaking task, in two modalities of input text presentation. We also explored whether participants’ vocabulary knowledge moderates the effects of text modality and difficulty on lexical alignment. We addressed these questions by analyzing lexical overlap in the speech of 128 Japanese learners of English. Students were asked to summarize the information given in two different expository info…
Human‐ versus artificial intelligence‐delivered roleplay tasks for assessing interactional competence
This study investigates the nature of co‐construction in roleplays conducted with human versus AI interlocutors for assessing interactional competence (IC) in L2 English. Seventy‐five university students in Japan completed roleplay tasks with both human tutors and an AI agent. The AI agent is a multimodal dialog system integrated with a large language model (LLM), designed to allow synchronous interaction with the participant through autonomous t…
To What Extent is Collocation Knowledge Associated with Oral Proficiency? A Corpus-Based Approach to Word Association
This study examined the relationship between second language (L2) learners’ collocation knowledge and oral proficiency. A new approach to measuring collocation was adopted by eliciting responses through a word association task and using corpus-based measures (absolute frequency count, t-score, MI score) to analyze the degree to which stimulus words and responses were collocated. Oral proficiency was measured using human judgements and objective m…
Continuing to Explore the Multidimensional Nature of Lexical Sophistication
Lexical sophistication has been an important indicator of productive lexical proficiency for almost 30 years. Although lexical sophistication has most often been operationalized as the proportion of low frequency words in a text, a growing body of research has indicated that a number of indices such as concreteness, hypernymy, and n‐gram association strengths meaningfully contribute to the construct. While the increase in available indices has ex…
Lexical Competence Underlying Second Language Word Association Tasks
This study investigated the constructs underlying second language (L2) word association (WA) with regard to three dimensions of lexical competence—size, organization, and accessibility—and the lexical performance of speech. One-hundred and thirteen Japanese learners of English completed a computer-delivered oral WA task along with three vocabulary tasks: a form-recall gap-filling task (size), a primed lexical decision task (organization and acces…
Register variation in spoken and written language use across technology-mediated and non-technology-mediated learning environments
In the realm of language proficiency assessments, the domain description inference and the extrapolation inference are key components of a validity argument. Biber et al.’s description of the lexicogrammatical features of the spoken and written registers in the T2K-SWAL corpus has served as support for the TOEFL iBT test’s domain description and extrapolation inferences. In the time since the T2K-SWAL corpus was collected, however, university lea…
The role of input modality and vocabulary knowledge in alignment in reading-to-speaking tasks
Our study investigated lexical alignment in a reading-to-speaking task, in two modalities of input text presentation. We also explored whether participants’ vocabulary knowledge moderates the effects of text modality and difficulty on lexical alignment. We addressed these questions by analyzing lexical overlap in the speech of 128 Japanese learners of English. Students were asked to summarize the information given in two different expository info…
Does the Reuse of Constructions Promote Fluency Development in Task Repetition? A Usage‐Based Perspective
In this task‐repetition intervention study, L2 learners’ reuse of linguistic constructions was analyzed to investigate to what extent recurring reliance on specific constructions during the same task repetition predicts fluency development. English‐as‐a‐foreign‐language (EFL) learners performed oral narrative tasks three times per day under two task repetition schedules: blocked (Day 1: Prompt A‐A‐A, Day 2: B‐B‐B, Day 3: C‐C‐C) versus interleaved…
To What Extent is Collocation Knowledge Associated with Oral Proficiency? A Corpus-Based Approach to Word Association
This study examined the relationship between second language (L2) learners’ collocation knowledge and oral proficiency. A new approach to measuring collocation was adopted by eliciting responses through a word association task and using corpus-based measures (absolute frequency count, t-score, MI score) to analyze the degree to which stimulus words and responses were collocated. Oral proficiency was measured using human judgements and objective m…
Exploring the potential of using an AI language model for automated essay scoring
The widespread adoption of ChatGPT, an AI language model, has the potential to bring about significant changes to the research, teaching, and learning of foreign languages. The present study aims to leverage this technology to perform automated essay scoring (AES) and evaluate its reliability and accuracy. Specifically, we utilized the GPT-3 text-davinci-003 model to automatically score all 12,100 essays contained in the ETS Corpus of Non-Native …
L2 collocation profiles and their relationship with vocabulary proficiency
Assessing spoken lexical and lexicogrammatical proficiency using features of word, bigram, and dependency bigram use
The measurement of second language (L2) productive lexical proficiency has driven a great deal of research over the past two decades. Research has indicated that more proficient speakers and writers tend to use a wider range of words and that more proficient writers tend to use words that are more sophisticated (less frequent in reference corpora). Research over the past 15 years has also demonstrated that the way words are used in context (i.e.,…
Evaluating evidence for the reliability and validity of lexical diversity indices in L2 oral task responses
Although lexical diversity is often used as a measure of productive proficiency (e.g., as an aspect of lexical complexity) in SLA studies involving oral tasks, relatively little research has been conducted to support the reliability and/or validity of these indices in spoken contexts. Furthermore, SLA researchers commonly use indices of lexical diversity such as Root TTR (Guiraud’s index) and D (vocd-D and HD-D) that have been preliminarily shown…
Human‐ versus artificial intelligence‐delivered roleplay tasks for assessing interactional competence
This study investigates the nature of co‐construction in roleplays conducted with human versus AI interlocutors for assessing interactional competence (IC) in L2 English. Seventy‐five university students in Japan completed roleplay tasks with both human tutors and an AI agent. The AI agent is a multimodal dialog system integrated with a large language model (LLM), designed to allow synchronous interaction with the participant through autonomous t…
Automated Writing Evaluation
Automated Writing Evaluation (AWE) and Scoring refers to the application of artificial intelligence in writing assessment, including assigning scores and providing formative feedback. To date, AWE systems are widely used to give scores on test‐takers' performance in several high‐stakes tests such as TOEFL iBT ® , as well as to augment classroom writing instructions. In the last decade, the field of AWE has experienced transformative changes due t…
Computer Science (10 works) · Linguistics (9 works) · Second Language Acquisition and Learning (9 works) · Psychology (8 works) · Natural language processing (7 works) · Natural Language Processing Techniques (7 works) · Text Readability and Simplification (6 works) · Artificial Intelligence (5 works) · Language proficiency (4 works) · Vocabulary (4 works)