| 2 |
LATIC: A Non-native Pre-labelled Mandarin Chinese Validation Corpus for Automatic Speech Scoring and Evaluation Task ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Investigating the attitude towards ambiguity: Interindividual differences in automatic activations of evaluations of ambiguity ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Human evaluation of three machine translation systems : from quality to attitudes by professional translators
|
|
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Identifying language disorder in bilingual children using automatic speech recognition : a feasibility study
|
|
|
|
BASE
|
|
Show details
|
|
|
| 6 |
Investigating the attitude towards ambiguity: Interindividual differences in automatic activations of evaluations of ambiguity
|
|
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Rapid development of competitive translation engines for access to multilingual COVID-19 information
|
|
|
|
In: Way, Andy orcid:0000-0001-5736-5930 , Haque, Rejwanul orcid:0000-0003-1680-0099 , Xie, Guodong, Gaspari, Federico orcid:0000-0003-3808-8418 , Popović, Maja orcid:0000-0001-8234-8745 and Poncelas, Alberto orcid:0000-0002-5089-1687 (2020) Rapid development of competitive translation engines for access to multilingual COVID-19 information. Informatics . ISSN 2227-9709 (2020)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Fine-grained text simplification in French: steps towards a better grammaticality
|
|
|
|
In: ISHIMR Proceedings of the 18th International Symposium on Health Information Management Research ; https://hal.archives-ouvertes.fr/hal-03095247 ; ISHIMR Proceedings of the 18th International Symposium on Health Information Management Research, Sep 2020, Kalmar, Sweden. ⟨10.15626/ishimr.2020.xxx⟩ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
French coreference for spoken and written language
|
|
|
|
In: Language Resources and Evaluation Conference (LREC 2020) ; https://hal.archives-ouvertes.fr/hal-02476902 ; Language Resources and Evaluation Conference (LREC 2020), 2020, Marseille, France. pp.80-89 ; https://www.aclweb.org/anthology/2020.lrec-1.10 (2020)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Speech recognition in the context of lectures : assessment, progress and enrichment ; Reconnaissance de la parole dans un contexte de cours magistraux : évaluation, avancées et enrichissement
|
|
|
|
In: https://tel.archives-ouvertes.fr/tel-02928451 ; Informatique et langage [cs.CL]. Le Mans Université, 2020. Français. ⟨NNT : 2020LEMA1008⟩ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
An English-Chinese Machine Translation and Evaluation Method for Geographical Names
|
|
|
|
In: ISPRS International Journal of Geo-Information ; Volume 9 ; Issue 3 (2020)
|
|
Abstract:
In recent years, with increasing international communication and cooperation, the consensus of toponymic information among different countries has become increasingly important. A large number of English geographical names are in urgent need of translation into Chinese, but there are few studies on machine translation of geographical names at present. Therefore, this paper proposes a method of automatically translating English geographical names into Chinese. First, the lexical structure of the geographic names is analyzed to divide the whole name into two parts, the special ; name and the general name, in an approach based on the statistical template model that implements pointwise mutual information and a directed acyclic graph data structure on the extracted names from different categories of a geographical name corpus. Second, the two parts of the geographic names are translated. The general name can be directly translated via methods of free translation. For the transliteration of the special ; name, the phonetic symbols are generated based on the cyclic neural network, and then, the syllables are divided based on the minimum entropy and converted into Chinese characters. Finally, the two parts of Chinese characters are combined, and criteria are prepared to evaluate the translation reliability according to the translation process to realize automatic quality inspection and screening of geographical names. As the experimental results show, the method is effective in the translation process of English geographic names into Chinese. This method can be easily extended to other languages such as Arabic.
|
|
Keyword:
automatic evaluation; cyclic neural network; lexical structure analysis; machine translation; minimum entropy; phonetic symbols generation; syllable division
|
|
URL: https://doi.org/10.3390/ijgi9030139
|
|
BASE
|
|
Hide details
|
|
|
| 12 |
A Framework for Word Embedding Based Automatic Text Summarization and Evaluation
|
|
|
|
In: Information ; Volume 11 ; Issue 2 (2020)
|
|
BASE
|
|
Show details
|
|
|
| 13 |
RuBQ: A Russian Dataset for Question Answering over Wikidata
|
|
|
|
In: Lect. Notes Comput. Sci. ; Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2020)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
A Survey on evaluation of summarization methods
|
|
|
|
In: ISSN: 1873-5371 ; EISSN: 1873-5371 ; Information processing & management ; https://hal.univ-brest.fr/hal-02130700 ; Information processing & management, [Oxford]: Elsevier Ltd., 2019, 56 (5), pp.1794-1814. ⟨10.1016/j.ipm.2019.04.001⟩ ; https://www.sciencedirect.com/science/article/abs/pii/S0306457318306241?via%3Dihub (2019)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
Investigating backtranslation for the improvement of English-Irish machine translation
|
|
|
|
In: Dowling, Meghan orcid:0000-0003-1637-4923 , Lynn, Teresa and Way, Andy orcid:0000-0001-5736-5930 (2019) Investigating backtranslation for the improvement of English-Irish machine translation. Teanga, 26 . pp. 1-25. ISSN 0332-205X (2019)
|
|
BASE
|
|
Show details
|
|
|
| 19 |
Webinar: Social Transportation Analytic Toolbox (STAT) for Transit Networks
|
|
|
|
In: TREC Webinar Series (2019)
|
|
BASE
|
|
Show details
|
|
|
| 20 |
Evaluación basada en errores: estudio comparativo de Google Traductor y Deeplerror-based ; Evaluation: comparative study of Google Translate and Deepl
|
|
|
|
BASE
|
|
Show details
|
|
|
|
|
