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Lounnas, K., Abbas, M., Lichouri, M., Hamidi, M., Satori, H., & Teffahi, H. (2022). Enhancement of spoken digits recognition for under-resourced languages: case of Algerian and Moroccan dialects. International Journal of Speech Technology, 1-13.<\/p>\n

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Lounnas, K., Lichouri, M., Abbas, M., Chahboub, T., & Salmi, S. (2022). Towards an Automatic Dialect Identification System for Algerian Dialects Using YouTube Videos. In Proceedings of The Fifth International Conference on Natural Language and Speech Processing (ICNLSP 2022) (To be published).<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb custom_css_main_element=\u00a0\u00bbdirection: ltr;\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

Lichouri, M., Abbas, M., & Lounnas, K. (2022). Statistical and Neural Techniques for Arabic Dialects Identification using Parallel and Non Parallel Corpora. International Symposium on Informatics and its Applications 2022 (ISIA\u201922), M\u2019sila, Algeria (To be published).<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb custom_css_main_element=\u00a0\u00bbdirection: ltr;\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

Lichouri, M., Lounnas, K., Djeradi, R., & Djeradi, A. (2022). Performance of End-to-End vs Pipeline Spoken Language Understanding Models on Multilingual Synthetic Voice. The 5th Edition of the International Conference on Advanced Aspects of Software Engineering (ICAASE\u201922), Constantine, Algeria. IEEE, 2022. p. 1-6.<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb custom_css_main_element=\u00a0\u00bbdirection: ltr;\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

Lounnas, K., Lichouri, M., and Abbas, M. (2022). Analysis of the Effect of Audio Data Augmentation Techniques on Phone Digit Recognition For Algerian Arabic Dialect. The 5th Edition of the International Conference on Advanced Aspects of Software Engineering (ICAASE\u201922), Constantine, Algeria. IEEE, 2022. p. 1-5.<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb custom_css_main_element=\u00a0\u00bbdirection: ltr;\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

Lounnas, K., Abbas, M., Lichouri, M., Teffahi, H., Hamidi, M., & Satori, H. (2021). A Transfer Learning Approach For Identifying Spoken Maghrebi Dialects. The 2nd international conference on Embedded Systems and Artificial Intelligence (ESAI\u201921), Fes, Morocco (To be published).<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb custom_css_main_element=\u00a0\u00bbdirection: ltr;\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

Hamidi, M., & Satori, H, Zealouk,O, Lounnas, K., Abbas, M., Lichouri, M., & Teffahi,H. (2021). Mixed ASR System for Amazigh and Arabic Under-Resourced Dialects in Maghreb Region, The 2nd international conference on Embedded Systems and Artificial Intelligence (ESAI\u201921), Fes, Morocco (To be published).<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb custom_css_main_element=\u00a0\u00bbdirection: ltr;\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

Lichouri, M., Abbas, M., Benaziz, B., Zitouni, A., & Lounnas, K. (2021, April). Preprocessing solutions for detection of sarcasm and sentiment for arabic. In Proceedings of the Sixth Arabic Natural Language Processing Workshop (pp. 376-380).<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb custom_css_main_element=\u00a0\u00bbdirection: ltr;\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

Lichouri, M.,\u00a0 Abbas, M., Lounnas, K., Benaziz, B., & Zitouni, A. (2021, April). Arabic dialect identification based on a weighted concatenation of tf-idf features. In Proceedings of the Sixth Arabic Natural Language Processing Workshop (pp. 282-286).<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb custom_css_main_element=\u00a0\u00bbdirection: ltr;\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

Lichouri, M., & Abbas, M. (2020, December). SpeechTrans@ SMM4H\u201920: Impact of preprocessing and n-grams on Automatic Classification of Tweets that Mention Medications. In Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task (pp. 118-120).<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb custom_css_main_element=\u00a0\u00bbdirection: ltr;\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

Lichouri, M., & Abbas, M. (2020, December). Simple vs oversampling-based classification methods for fine grained arabic dialect identification in twitter. In Proceedings of the Fifth Arabic Natural Language Processing Workshop (pp. 250-256).<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb custom_css_main_element=\u00a0\u00bbdirection: ltr;\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

Lichouri, M., Abbas, M., & Benaziz, B. (2020). Profiling fake news spreaders on twitter based on tfidf features and morphological process. In CEUR Workshop Proceedings (Vol. 2696).<\/p>\n

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Hadjadji, I., Falek, L., Lounnas, K., & Lichouri, M. (2020, December). Enhancement of the interlocutor emotion recognition rate from non-professionals speakers in Arabic database. In 2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS) (pp. 1-6). IEEE.<\/p>\n

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Zitouni, A., Falek, L., Abbas, M., Lichouri, M., & Lounnas, K. (2020, December). Analysis of the Influence of the Arabic Fricatives Vocalic Context on Their Spectral Parameters. In International Conference on Computing Systems and Applications (pp. 255-264). Springer, Cham.<\/p>\n

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Lounnas, K., Satori, H., Hamidi, M., Teffahi, H., Abbas, M., & Lichouri, M. (2020, April). CLIASR: a combined automatic speech recognition and language identification system. In 2020 1st international conference on innovative research in applied science, engineering and Technology (IRASET) (pp. 1-5). IEEE.<\/p>\n

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Lichouri, M., Abbas, M., Benaziz, B., & Freihat, A. A. (2019). ST NSURL 2019 Shared Task: Semantic Question Similarity in Arabic. In Proceedings of The First International Workshop on NLP Solutions for Under Resourced Languages (NSURL 2019) co-located with ICNLSP 2019-Short Papers (pp. 80-84).<\/p>\n

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Lounnas, K., Abbas, M., & Lichouri, M. (2019, September). Building a speech corpus based on Arabic podcasts for language and dialect identification. In Proceedings of the 3rd International Conference on Natural Language and Speech Processing (pp. 54-58).<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb custom_css_main_element=\u00a0\u00bbdirection: ltr;\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

Lichouri, M., Abbas, M., Djeradi, R., & Djeradi, A. (2019, September). An Arabic Multi-Domain Spoken Language Understanding System. In Proceedings of the 3rd International Conference on Natural Language and Speech Processing (pp. 49-53).<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb custom_css_main_element=\u00a0\u00bbdirection: ltr;\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

Abbas, M., Lichouri, M., & Zeggada, A. (2019, September). Classification of Arabic Poems: from the 5th to the 15th Century. In International Conference on Image Analysis and Processing (pp. 179-186). Springer, Cham.<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb custom_css_main_element=\u00a0\u00bbdirection: ltr;\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

Abbas, M., Lichouri, M., & Freihat, A. A. (2019, August). St madar 2019 shared task: Arabic fine-grained dialect identification. In Proceedings of the Fourth Arabic Natural Language Processing Workshop (pp. 269-273).<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb custom_css_main_element=\u00a0\u00bbdirection: ltr;\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

Lichouri, M., Djeradi, R., Djeradi, A., & Abbas, M. (2019, March). Towards a Portable SLU System Applied to MSA and Low-resourced Algerian Dialects. In International Conference on Advanced Machine Learning Technologies and Applications (pp. 576-585). Springer, Cham.<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb custom_css_main_element=\u00a0\u00bbdirection: ltr;\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

Lounnas, K., Abbas, M., Teffahi, H., & Lichouri, M. (2019, March). A language identification system based on voxforge speech corpus. In International Conference on Advanced Machine Learning Technologies and Applications (pp. 529-534). Springer, Cham.<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb custom_css_main_element=\u00a0\u00bbdirection: ltr;\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

Lichouri, M., Abbas, M., Freihat, A. A., & Megtouf, D. E. H. (2018). Word-level vs sentence-level language identification: Application to algerian and arabic dialects. Procedia Computer Science, 142, 246-253.<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

\u0639\u0628\u0627\u0633 ,\u0645 .\u0644\u064a\u0634\u0648\u0631\u064a ,\u0645. \u0648 \u0645\u0642\u0637\u0648\u0641 ,\u0636. \u0627\u0644\u062a\u0643\u0646\u0648\u0644\u0648\u062c\u064a\u0627\u062a \u0627\u0644\u062d\u062f\u064a\u062b\u0629 \u0648\u062f\u0648\u0631\u0647\u0627 \u0641\u064a \u062a\u0639\u0644\u064a\u0645 \u0627\u0644\u0644\u063a\u0627\u062a \u0627\u0644\u0623\u062c\u0646\u0628\u064a\u0629: \u062a\u0637\u0628\u064a\u0642 \u0639\u0644\u0649 \u0627\u0644\u0644\u063a\u0627\u062a \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0648\u0627\u0644\u0635\u064a\u0646\u064a\u0629 \u0648\u0627\u0644\u062a\u0631\u0643\u064a\u0629. \u0645\u0642\u0627\u0644 \u0641\u064a \u0627\u0644\u0645\u0644\u062a\u0642\u0649 \u0627\u0644\u0648\u0637\u0646\u064a \u062d\u0648\u0644 \u0627\u0644\u0644\u063a\u0629 \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0648\u0627\u0644\u062a\u0642\u0627\u0646\u0627\u062a \u0627\u0644\u062c\u062f\u064a\u062f\u0629\u060c \u0633\u0628\u062a\u0645\u0628\u0631 2018.<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

\u0644\u064a\u0634\u0648\u0631\u064a, \u0645.\u00a0 \u0639\u0628\u0627\u0633 ,\u0645.\u00a0 \u0645\u0642\u0637\u0648\u0641 ,\u0636. \u0627\u0644\u062a\u0645\u064a\u064a\u0632 \u0627\u0644\u0622\u0644\u064a \u0628\u064a\u0646 \u0627\u0644\u0644\u063a\u0629 \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0648 \u0644\u0647\u062c\u0627\u062a\u0647\u0627: \u062e\u0637\u0648\u0629 \u0627\u0655\u0644\u0649 \u0627\u0644\u0623\u0654\u0645\u0627\u0645. \u0645\u0642\u0627\u0644 \u0641\u064a \u0627\u0644\u0645\u0644\u062a\u0642\u0649 \u0627\u0644\u0648\u0637\u0646\u064a \u062d\u0648\u0644 \u0627\u0644\u0644\u063a\u0629 \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0648\u0627\u0644\u062a\u0642\u0627\u0646\u0627\u062a \u0627\u0644\u062c\u062f\u064a\u062f\u0629\u060c \u0633\u0628\u062a\u0645\u0628\u0631 2018.<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

\u0639\u0628\u0627\u0633 ,\u0645 .\u0644\u064a\u0634\u0648\u0631\u064a ,\u0645. \u0648 \u0645\u0642\u0637\u0648\u0641 ,\u0636. \u0646\u0638\u0627\u0645 \u0627\u0653\u0644\u064a \u0644\u0644\u062a\u0631\u062c\u0645\u0629 \u0645\u0646 \u0627\u0644\u0644\u063a\u0627\u062a \u0627\u0644\u0623\u062c\u0646\u0628\u064a\u0629 \u0627\u0655\u0644\u0649 \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0648 \u0627\u0644\u0645\u0627\u0632\u064a\u063a\u064a\u0629. \u0627\u0644\u0645\u0644\u062a\u0642\u0649 \u0627\u0644\u0648\u0637\u0646\u064a \u062d\u0648\u0644 \u0627\u0644\u062a\u0639\u0627\u064a\u0634 \u0627\u0644\u0644\u063a\u0648\u064a \u0641\u064a \u0627\u0644\u062c\u0632\u0627\u0626\u0631 \u0628\u064a\u0646 \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0648\u0627\u0644\u0645\u0627\u0632\u064a\u063a\u064a\u0629 \u0641\u064a \u0638\u0644 \u0627\u0644\u062a\u0639\u062f\u064a\u0644 \u0627\u0644\u062f\u0633\u062a\u0648\u0631\u064a \u0627\u0644\u062c\u062f\u064a\u062f\u060c \u0646\u0648\u0641\u0645\u0628\u0631 2018.<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

\u0645\u062d\u0645\u062f \u0644\u064a\u0634\u0648\u0631\u064a \u0648\u0645\u0631\u0627\u062f \u0639\u0628\u0627\u0633 \u0648\u0636\u064a\u0627\u0621 \u0627\u0644\u062d\u0642 \u0645\u0642\u0637\u0648\u0641\u060c \u0627\u0644\u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0622\u0644\u064a \u0644\u0644\u0643\u062a\u0627\u0628\u0629 \u0627\u0644\u0645\u0627\u0632\u064a\u063a\u064a\u0629 \u0645\u0646 \u0627\u0644\u0644\u0627\u062a\u064a\u0646\u064a\u0629 \u0627\u0655\u0644\u0649 \u0627\u0644\u0639\u0631\u0628\u064a\u0629.\u0627\u0644\u0645\u0644\u062a\u0642\u0649 \u0627\u0644\u0648\u0637\u0646\u064a \u062d\u0648\u0644 \u0627\u0644\u062a\u0639\u0627\u064a\u0634 \u0627\u0644\u0644\u063a\u0648\u064a \u0641\u064a \u0627\u0644\u062c\u0632\u0627\u0626\u0631 \u0628\u064a\u0646 \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0648\u0627\u0644\u0645\u0627\u0632\u064a\u063a\u064a\u0629 \u0641\u064a \u0638\u0644 \u0627\u0644\u062a\u0639\u062f\u064a\u0644 \u0627\u0644\u062f\u0633\u062a\u0648\u0631\u064a \u0627\u0644\u062c\u062f\u064a\u062f\u060c \u0646\u0648\u0641\u0645\u0628\u0631 2018.<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=\u00a0\u00bbon\u00a0\u00bb font_icon=\u00a0\u00bb||fa||400″ icon_color=\u00a0\u00bb#878787″ icon_placement=\u00a0\u00bbright\u00a0\u00bb image_icon_width=\u00a0\u00bb17px\u00a0\u00bb content_max_width=\u00a0\u00bb100%\u00a0\u00bb _builder_version=\u00a0\u00bb4.18.0″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb body_font_size=\u00a0\u00bb21px\u00a0\u00bb body_line_height=\u00a0\u00bb1em\u00a0\u00bb custom_margin=\u00a0\u00bb||14px|||\u00a0\u00bb custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbpost_content\u00a0\u00bb]<\/p>\n

\u0645\u062d\u0645\u062f \u0644\u064a\u0634\u0648\u0631\u064a \u0648\u0645\u0631\u0627\u062f \u0639\u0628\u0627\u0633\u060c \u0646\u062d\u0648 \u0646\u0638\u0627\u0645 \u0641\u0647\u0645 \u0627\u0653\u0644\u064a \u0644\u0644\u063a\u0629 \u0627\u0644\u0645\u0646\u0637\u0648\u0642\u0629 \u062a\u0637\u0628\u064a\u0642 \u0639\u0644\u0649 \u0627\u0644\u0644\u063a\u0629 \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0648\u0627\u0644\u0644\u0647\u062c\u0627\u062a \u0627\u0644\u062c\u0632\u0627\u0626\u0631\u064a\u0629. \u0645\u0642\u0627\u0644 \u0641\u064a \u0627\u0644\u0645\u0644\u062a\u0642\u0649 \u0627\u0644\u0648\u0637\u0646\u064a \u062d\u0648\u0644 \u0627\u0644\u0644\u063a\u0629 \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0648 \u0627\u0644\u062a\u0642\u0627\u0646\u0627\u062a \u0627\u0644\u062d\u062f\u064a\u062b\u0629\u060c 18 \u062f\u064a\u0633\u0645\u0628\u0631 2018<\/p>\n

[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

\u0645\u062d\u0645\u062f \u0644\u064a\u0634\u0648\u0631\u064a\u0627\u0644\u0631\u062a\u0628\u0629: \u0623\u0633\u062a\u0627\u0630 \u0628\u062d\u062b \u0642\u0633\u0645 \u00ab\u00a0\u0628\u00a0\u00bb \u0627\u0644\u0642\u0633\u0645: \u0627\u0644\u0644\u0633\u0627\u0646\u064a\u0627\u062a \u0627\u0644\u062d\u0627\u0633\u0648\u0628\u064a\u0629 \u0627\u0644\u0641\u0631\u0642\u0629: \u0627\u0644\u062a\u062d\u0643\u0645 \u0628\u0627\u0644\u0631\u0648\u0628\u0648\u062a\u0627\u062a \u0639\u0628\u0631 \u0627\u0644\u0635\u0648\u062a \u0627\u0644\u0639\u0631\u0628\u064a\u0627\u0644\u0645\u0646\u0634\u0648\u0631\u0627\u062a \u0627\u0644\u0639\u0644\u0645\u064a\u0629Lounnas, K., Abbas, M., Lichouri, M., Hamidi, M., Satori, H., & Teffahi, H. (2022). Enhancement of spoken digits recognition for under-resourced languages: case of Algerian and Moroccan dialects. International Journal of Speech Technology, 1-13.\u0627\u0644\u0645\u062f\u0627\u062e\u0644\u0627\u062a \u0627\u0644\u0639\u0644\u0645\u064a\u0629Lounnas, K., Lichouri, M., Abbas, M., […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":3412,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-9991","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.crstdla.dz\/index.php?rest_route=\/wp\/v2\/pages\/9991","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.crstdla.dz\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.crstdla.dz\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.crstdla.dz\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.crstdla.dz\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=9991"}],"version-history":[{"count":7,"href":"https:\/\/www.crstdla.dz\/index.php?rest_route=\/wp\/v2\/pages\/9991\/revisions"}],"predecessor-version":[{"id":13659,"href":"https:\/\/www.crstdla.dz\/index.php?rest_route=\/wp\/v2\/pages\/9991\/revisions\/13659"}],"up":[{"embeddable":true,"href":"https:\/\/www.crstdla.dz\/index.php?rest_route=\/wp\/v2\/pages\/3412"}],"wp:attachment":[{"href":"https:\/\/www.crstdla.dz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9991"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}