| 1 |
When the Easy Becomes Difficult: Factors Affecting the Acquisition of the English /iː/-/ɪ/ Contrast
|
|
|
|
In: Frontiers in Communication ; 6 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
|
|
|
|
In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Calculating semantic relatedness of lists of nouns using WordNet path length ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Impact of Sentence Representation Matching in Neural Machine Translation
|
|
|
|
In: Applied Sciences; Volume 12; Issue 3; Pages: 1313 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
The Research on Consistency Checking and Improvement of Probabilistic Linguistic Preference Relation Based on Similarity Measure and Minimum Adjustment Model
|
|
|
|
In: Mathematics; Volume 10; Issue 9; Pages: 1369 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
Methods, Models and Tools for Improving the Quality of Textual Annotations
|
|
|
|
In: Modelling; Volume 3; Issue 2; Pages: 224-242 (2022)
|
|
Abstract:
In multilingual textual archives, the availability of textual annotation, that is keywords either manually or automatically associated with texts, is something worth exploiting to improve user experience and successful navigation, search and visualization. It is therefore necessary to study and develop tools for this exploitation. The paper aims to define models and tools for handling textual annotations, in our case keywords of a scientific library. With the background of NLP, machine learning and deep learning approaches are presented. They allow us, in supervised and unsupervised ways, to increase the quality of keywords. The different steps of the pipeline are addressed, and different solutions are analyzed, implemented, evaluated and compared, using statistical methods, machine learning and artificial neural networks as appropriate. If possible, off-the-shelf solutions will also be compared. The models are trained on different datasets already available or created ad hoc with common characteristics with the starting dataset. The results obtained are presented, commented and compared with each other.
|
|
Keyword:
LSTM; machine learning algorithms; multilingual datasets; neural networks; semantic relatedness; sequence2sequence; syntactic similarity; word embedding models
|
|
URL: https://doi.org/10.3390/modelling3020015
|
|
BASE
|
|
Hide details
|
|
|
| 10 |
Capability Language Processing (CLP): Classification and Ranking of Manufacturing Suppliers Based on Unstructured Capability Data
|
|
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Usage-Based Contact Linguistics : Effects of Frequency and Similarity in Language Contact
|
|
|
|
BASE
|
|
Show details
|
|
|
| 12 |
TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing
|
|
|
|
BASE
|
|
Show details
|
|
|
| 13 |
“Language thinking” from the perspective of systemic linguistics
|
|
|
|
In: Russian Journal of Linguistics, Vol 26, Iss 1, Pp 224-244 (2022) (2022)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Automatic Detection of Plagiarism in Writing
|
|
|
|
In: Studies in Applied Linguistics & TESOL, Vol 21, Iss 2 (2022) (2022)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
Automatic Detection of Plagiarism in Writing
|
|
|
|
In: Studies in Applied Linguistics & TESOL, Vol 21, Iss 2 (2022) (2022)
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Easy-to-use combination of POS and BERT model for domain-specific and misspelled terms
|
|
|
|
In: NL4IA Workshop Proceedings ; https://hal.archives-ouvertes.fr/hal-03474696 ; NL4IA Workshop Proceedings, Nov 2021, Milan, Italy (2021)
|
|
BASE
|
|
Show details
|
|
|
| 17 |
Investigating the impact of preprocessing on document embedding: an empirical comparison
|
|
|
|
In: ISSN: 1759-1163 ; EISSN: 1759-1171 ; International Journal of Data Mining, Modelling and Management ; https://hal.inrae.fr/hal-03574696 ; International Journal of Data Mining, Modelling and Management, Inderscience, 2021, 13 (4), pp.351-363 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 18 |
Language distance in orthographic transparency affects cross-language pattern similarity between native and non-native languages.
|
|
|
|
In: Human brain mapping, vol 42, iss 4 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 19 |
Avoiding gender ambiguous pronouns in French
|
|
|
|
In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-03374279 ; Cognition, Elsevier, 2021 (2021)
|
|
BASE
|
|
Show details
|
|
|
|
|
