Antonio San Martín
Biographic Data
| ID | 6553684 |
|---|---|
| NAME | Antonio San Martín |
| GIVEN NAMES | Antonio San |
| FAMILY NAME | Martín |
| SIGNATURE | SAN MARTIN A |
| AFFILIATIONS | Université du Québec à Trois-Rivières |
| ORCID | 0000-0003-1732-4602 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Machine Translation for Language Learning
When neural machine translation was integrated into Google Translate in 2016, higher‐quality machine translation (MT) became available to serve a range of purposes, including learning a second language (L2). Free online MT systems such as Google Translate and DeepL, while impressive in their capabilities, are nonetheless not infallible. MT performance is notably modulated by genre and by language pair, with closely related languages and high‐reso…
Discovering hyponymic knowledge patterns in English
Identifying hyponymy is essential in terminology work. This article addresses the lack of a comprehensive inventory of hyponymic knowledge patterns (KPs) in English by presenting a robust methodology for their collection. Drawing on six complementary strategies — literature review, machine translation, parallel corpora, human translation, bootstrapping, and generative artificial intelligence — the study identified and validated 110 distinct Engli…
Contextual Constraints in Terminological Definitions
The purpose of a terminological definition is to represent in natural language the most relevant knowledge associated with a term. However, the knowledge activated by a term (i.e., its meaning) varies according to the usage context. Since context is indispensable in meaning construction, it should guide terminological definition writing. Nonetheless, the recommendation is still that a terminological definition should represent a concept's necessa…
Repérage automatisé de l’hyponymie dans des corpus spécialisés en français à l’aide de Sketch Engine
Hyponymy is an essential semantic relation in terminology, as it represents the hierarchical organization of concepts. Much has been written about hyponymy extraction. However, terminologists working with French do not currently have user-friendly and freely available tools to automatically extract hyper-hyponymic pairs from their own corpora. This paper presents the most recent version of the ESSG (EcoLexicon Semantic Sketch Grammar) methodology…
A Flexible Approach to Terminological Definitions
To formulate definitions that meet user needs, terminologists and specialised lexicographers must know how to effectively select information. However, most definition writing guidelines are based on the specification of necessary and sufficient characteristics, which has serious drawbacks because it downplays the role of context (understood as any factor affecting how a term is interpreted) in specialised meaning construction. This paper focuses …
A Flexible Approach to Terminological Definitions
To formulate definitions that meet user needs, terminologists and specialised lexicographers must know how to effectively select information. However, most definition writing guidelines are based on the specification of necessary and sufficient characteristics, which has serious drawbacks because it downplays the role of context (understood as any factor affecting how a term is interpreted) in specialised meaning construction. This paper focuses …
A Flexible Approach to Terminological Definitions
To formulate definitions that meet user needs, terminologists and specialised lexicographers must know how to effectively select information. However, most definition writing guidelines are based on the specification of necessary and sufficient characteristics, which has serious drawbacks because it downplays the role of context (understood as any factor affecting how a term is interpreted) in specialised meaning construction. This paper focuses …
Contextual Constraints in Terminological Definitions
The purpose of a terminological definition is to represent in natural language the most relevant knowledge associated with a term. However, the knowledge activated by a term (i.e., its meaning) varies according to the usage context. Since context is indispensable in meaning construction, it should guide terminological definition writing. Nonetheless, the recommendation is still that a terminological definition should represent a concept's necessa…
Repérage automatisé de l’hyponymie dans des corpus spécialisés en français à l’aide de Sketch Engine
Hyponymy is an essential semantic relation in terminology, as it represents the hierarchical organization of concepts. Much has been written about hyponymy extraction. However, terminologists working with French do not currently have user-friendly and freely available tools to automatically extract hyper-hyponymic pairs from their own corpora. This paper presents the most recent version of the ESSG (EcoLexicon Semantic Sketch Grammar) methodology…
Discovering hyponymic knowledge patterns in English
Identifying hyponymy is essential in terminology work. This article addresses the lack of a comprehensive inventory of hyponymic knowledge patterns (KPs) in English by presenting a robust methodology for their collection. Drawing on six complementary strategies — literature review, machine translation, parallel corpora, human translation, bootstrapping, and generative artificial intelligence — the study identified and validated 110 distinct Engli…
Machine Translation for Language Learning
When neural machine translation was integrated into Google Translate in 2016, higher‐quality machine translation (MT) became available to serve a range of purposes, including learning a second language (L2). Free online MT systems such as Google Translate and DeepL, while impressive in their capabilities, are nonetheless not infallible. MT performance is notably modulated by genre and by language pair, with closely related languages and high‐reso…
Lexicography and Language Studies (4 works) · linguistics and terminology studies (4 works) · Computer Science (3 works) · Linguistics (3 works) · Natural language processing (3 works) · Natural Language Processing Techniques (3 works) · Artificial Intelligence (2 works) · Epistemology (2 works) · Grammar (2 works) · Sketch (2 works)