標(biāo)題: Titlebook: Statistical Language and Speech Processing; 9th International Co Luis Espinosa-Anke,Carlos Martín-Vide,Irena Spasi? Conference proceedings [打印本頁(yè)] 作者: 次要 時(shí)間: 2025-3-21 19:19
書(shū)目名稱Statistical Language and Speech Processing影響因子(影響力)
書(shū)目名稱Statistical Language and Speech Processing影響因子(影響力)學(xué)科排名
書(shū)目名稱Statistical Language and Speech Processing網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Statistical Language and Speech Processing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Statistical Language and Speech Processing被引頻次
書(shū)目名稱Statistical Language and Speech Processing被引頻次學(xué)科排名
書(shū)目名稱Statistical Language and Speech Processing年度引用
書(shū)目名稱Statistical Language and Speech Processing年度引用學(xué)科排名
書(shū)目名稱Statistical Language and Speech Processing讀者反饋
書(shū)目名稱Statistical Language and Speech Processing讀者反饋學(xué)科排名
作者: inflame 時(shí)間: 2025-3-21 22:13
https://doi.org/10.1007/978-3-030-89579-2artificial intelligence; computational linguistics; computer science; computer systems; computer vision; 作者: 能得到 時(shí)間: 2025-3-22 03:06
978-3-030-89578-5Springer Nature Switzerland AG 2021作者: gruelling 時(shí)間: 2025-3-22 05:13 作者: 拱墻 時(shí)間: 2025-3-22 11:39
Conference proceedings 2021K, in November 2021..The 9 full papers presented in this volume were carefully reviewed and selected from 21 submissions. The papers present topics of either theoretical or applied interest discussing the employment of statistical models (including machine learning) within language and speech processing..作者: Retrieval 時(shí)間: 2025-3-22 14:55
Improving German Image Captions Using Machine Translation and Transfer Learning30K dataset. One of these methods uses an alternative attention mechanism from the literature that showed a good performance in English image captioning. We compare the performance of all methods for the Multi30K test set in German using common automatic evaluation metrics. We show that our advanced作者: collateral 時(shí)間: 2025-3-22 19:11 作者: 彎曲的人 時(shí)間: 2025-3-22 21:25
Constructing Sentiment Lexicon with?Game for Annotation Collectionmanually annotated dataset of mobile phone reviews. The same was done with other existing lexicons for comparison. The results of our experiments show that collecting annotations using our game can be useful as a method for constructing a sentiment lexicon.作者: arousal 時(shí)間: 2025-3-23 04:40
Use of Speaker Metadata for Improving Automatic Pronunciation Assessmenttion was used to detect pronunciation errors in short speech segments. It was found that the use of categorical metadata can have a positive effect in the classification of mispronounced segments depending on the sparsity and balance of the classes. It was also found that different assessors can be 作者: 多骨 時(shí)間: 2025-3-23 08:09
Augmenting ASR for User-Generated Videos with Semi-supervised Training and Acoustic Model Adaptationdomain produced WERs 31.27% and 44.69% on dev and test sets, respectively. By introducing the techniques outlined above, the WERs are reduced to 26.82% and 39.21% respectively. The improved transcripts increased mean reciprocal rank (MRR) results for the SCR task from 15.59% to 39.38% on dev and 20.作者: 使厭惡 時(shí)間: 2025-3-23 13:00 作者: Initiative 時(shí)間: 2025-3-23 17:52 作者: Entirety 時(shí)間: 2025-3-23 20:22 作者: meretricious 時(shí)間: 2025-3-23 23:28 作者: 得意人 時(shí)間: 2025-3-24 05:08 作者: saphenous-vein 時(shí)間: 2025-3-24 09:32
Various DNN-HMM Architectures Used in Acoustic Modeling with Single-Speaker and Single-Channelantages of using biphone context modeling over using the triphone context or even simpler context-free monophone. We also address the effect of the amount of training data and the context of DNN on WER, and all this with regard to a special acoustic model with one speaker and an almost constant acoustic channel.作者: 藕床生厭倦 時(shí)間: 2025-3-24 14:40 作者: 錢財(cái) 時(shí)間: 2025-3-24 15:22
Robustness of Named Entity Recognition: Case of Latvianel could be obtained by augmenting training data with datasets containing different error types. Our best model achieves an average F1 score of 83.5 (84.1 for baseline) on grammatically correct text, while keeping good performance (79 F1 vs. 66 for baseline) on noisy texts.作者: 強(qiáng)制令 時(shí)間: 2025-3-24 20:02
0302-9743 Cardiff, UK, in November 2021..The 9 full papers presented in this volume were carefully reviewed and selected from 21 submissions. The papers present topics of either theoretical or applied interest discussing the employment of statistical models (including machine learning) within language and spe作者: phytochemicals 時(shí)間: 2025-3-24 23:58
Conference proceedings 2021K, in November 2021..The 9 full papers presented in this volume were carefully reviewed and selected from 21 submissions. The papers present topics of either theoretical or applied interest discussing the employment of statistical models (including machine learning) within language and speech proces作者: 假裝是我 時(shí)間: 2025-3-25 05:05 作者: OMIT 時(shí)間: 2025-3-25 11:00
Improving German Image Captions Using Machine Translation and Transfer Learninguage processing. In addition, most of the work in this domain addresses the English language because of the high availability of annotated training data compared to other languages. Therefore, we investigate methods for image captioning in German that transfer knowledge from English training data. W作者: 羅盤(pán) 時(shí)間: 2025-3-25 14:57
Automatic News Article Generation from?Legislative Proceedings: A?Phenom-Based Approachts, weather, financial reporting and similar domains with highly structured, well defined tabular data sources. Other domains such as local reporting have not seen adoption of algorithmic journalism, and thus no automated reporting systems are available in these categories which can have important i作者: 喚醒 時(shí)間: 2025-3-25 18:23 作者: 含糊其辭 時(shí)間: 2025-3-25 20:08 作者: HUMID 時(shí)間: 2025-3-26 00:17
Robustness of Named Entity Recognition: Case of LatvianHowever, when the NER model faces ungrammatical text, it often shows poor performance. In this study, we analyze NER performance on datasets containing errors typical for user-generated texts in the Latvian language. We explore three different strategies to increase the robustness of the named entit作者: 廣告 時(shí)間: 2025-3-26 08:12
Use of Speaker Metadata for Improving Automatic Pronunciation Assessmentr is able to replicate said reference is decided by an assessor who perceives the identity of the sounds produced. It is known that the assessor has a bias caused by the perception of the speaker, hence the definition of a standard for L2 pronunciation is crucial in a formal assessment. In Computer 作者: Morsel 時(shí)間: 2025-3-26 09:50
Augmenting ASR for User-Generated Videos with Semi-supervised Training and Acoustic Model Adaptationiverse user-generated videos in the task of spoken content retrieval (SCR). Previous work has successfully applied semi-supervised training in single domain ASR tasks. Our focus is on the exploration of the effective use of semi-supervised training of ASR systems for transcription of the spoken cont作者: 召集 時(shí)間: 2025-3-26 13:55 作者: 沙漠 時(shí)間: 2025-3-26 17:49 作者: 恩惠 時(shí)間: 2025-3-27 00:59 作者: Anemia 時(shí)間: 2025-3-27 01:29 作者: 最后一個(gè) 時(shí)間: 2025-3-27 05:35
Antipyreticardanken die modernen Antipyretica nicht so sehr ihrer Temperatur herabsetzenden Wirkung, als vielmehr ihren vortrefflichen Nebenwirkungen auf das Nervensystem, vor allem der besonderen schmerzstillenden Funktion. Diese Substanzen wirken einerseits als W?rmezentrumnarkotica, andererseits als leichte Narkotica überhaupt.作者: Pessary 時(shí)間: 2025-3-27 11:27
Drugs and the Neuromuscular Systemlar junction. Anticholinesterase agents are used in the management of patients in a limited number of neuromuscular disorders, for example in the management of myasthenia gravis and in the treatment of glaucoma. They are also used to reverse the effects of muscle relaxants.作者: BANAL 時(shí)間: 2025-3-27 17:08
Book 2016Latest editionen Fahrzeugen fit gemacht werden kann. Wegen der Synthese techniksoziologischen Wissens kann es auch als Einführung in die Techniksoziologie für Fortgeschrittene und Interessierte anderer F?cher gelesen werden.?.?.作者: armistice 時(shí)間: 2025-3-27 20:19
Michael L. Nguyen MD,Marc R. Safran MDort-term memory and a long-term memory, depending on the retention time [117, 36, 118, 23]. The short-term memory refers to a compilation of knowledge representing the current state of the environment. In turn, the long-term memory refers to knowledge stored for a long time or permanently. One simpl作者: 解決 時(shí)間: 2025-3-28 00:30
Long Wangers had made travel arrangements. Professor . of Frankfurt was in London in July with many of his Colleagues*, attending an international conference on “cripples”, and he assured the late Mr. . and this writer that no international incident would prevent the Congress being held. We had no reason to 作者: Terrace 時(shí)間: 2025-3-28 03:26 作者: 背書(shū) 時(shí)間: 2025-3-28 09:40 作者: obnoxious 時(shí)間: 2025-3-28 13:21 作者: superfluous 時(shí)間: 2025-3-28 16:12
Front Matteren wir insbesondere -in alphabetischer Reihenfolge -Erziehungswissenschaft, Ethnologie, Geschichtswissenschaft, Kriminologie, Kulturanthropologie, Politikwissenschaft, Psychologie, Soziologie, V?lkerkun- de und Wirtschaftswissenschaft. Das Ziel des Buches besteht jedoch nicht in einer Einführung in 作者: Mere僅僅 時(shí)間: 2025-3-28 22:17
Organism Models: Choosing the Right Modelm is a common denominator to a set of rare diseases. We define the place of the organism models in the translational strategy. We suggest four criteria to improve the validity of organism models: (1) identical etiology in model and in paragon, (2) similar molecular signature, (3) comparable pathophy
