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公开(公告)号：US09654438B2
公开(公告)日：2017-05-16
申请号：US14644470
申请日：2015-03-11
Applicant: Amazon Technologies, Inc.
Inventor： Jonathan B. Feinstein
Abstract: Disclosed are various embodiments for identifying a message deliverability problem. Responses are received from one or more client devices that include information that identifies whether a respective response is associated with a first group of messages or a second group of messages. A message deliverability problem for at least one of the first group of messages or the second group of messages may be identified based at least in part on the information included in at least a portion of the plurality of responses.
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Patent Agency Ranking
公开(公告)号：US20200098352A1
公开(公告)日：2020-03-26
申请号：US16139891
申请日：2018-09-24
Applicant: Amazon Technologies, Inc.
Inventor： Jonathan B. Feinstein , Alok Verma , Amina Shabbeer , Brandon Scott Durham , Catherine Breslin , Edward Bueche , Fabian Moerchen , Fabian Triefenbach , Klaus Reiter , Toby R. Latin-Stoermer , Panagiota Karanasou , Judith Gaspers
Abstract: Techniques are provided for training a target language model based at least in part on data associated with a reference language model. For example, language data utilized to train an English language model may be translated and provided as training data to train a German language model to recognize utterances provided in German. By utilizing the techniques herein, the efficiency of training a new language model may be improved due at least in part to replacing labor-intensive operations conventionally performed by specialized personnel with machine-generated data. Additionally, techniques discussed herein provide for reducing the time required for training a new language model by leveraging information associated with utterances of one language to train the new language model associated with a different language.
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公开(公告)号：US10854189B2
公开(公告)日：2020-12-01
申请号：US16139984
申请日：2018-09-24
Applicant: Amazon Technologies, Inc.
Inventor： Jonathan B. Feinstein , Alok Verma , Amina Shabbeer , Brandon Scott Durham , Catherine Breslin , Edward Bueche , Fabian Moerchen , Fabian Triefenbach , Klaus Reiter , Toby R. Latin-Stoermer , Panagiota Karanasou , Judith Gaspers
Abstract: Techniques are provided for training a language recognition model. For example, a language recognition model may be maintained and associated with a reference language (e.g., English). The language recognition model may be configured to accept as input an utterance in the reference language and to identify a feature to be executed in response to receiving the utterance. New language data (e.g., other utterances) provided in a different language (e.g., German) may be obtained. This new language data may be translated to English and utilized to retrain the model to recognize reference language data as well as language data translated to the reference language. Subsequent utterances (e.g., English utterances, or German utterances translated to English) may be provided to the updated model and a feature may be identified. One or more instructions may be sent to a user device to execute a set of instructions associated with the feature.
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公开(公告)号：US20200098351A1
公开(公告)日：2020-03-26
申请号：US16139984
申请日：2018-09-24
Applicant: Amazon Technologies, Inc.
Inventor： Jonathan B. Feinstein , Alok Verma , Amina Shabbeer , Brandon Scott Durham , Catherine Breslin , Edward Bueche , Fabian Moerchen , Fabian Triefenbach , Klaus Reiter , Toby R. Latin-Stoermer , Panagiota Karanasou , Judith Gaspers
Abstract: Techniques are provided for training a language recognition model. For example, a language recognition model may be maintained and associated with a reference language (e.g., English). The language recognition model may be configured to accept as input an utterance in the reference language and to identify a feature to be executed in response to receiving the utterance. New language data (e.g., other utterances) provided in a different language (e.g., German) may be obtained. This new language data may be translated to English and utilized to retrain the model to recognize reference language data as well as language data translated to the reference language. Subsequent utterances (e.g., English utterances, or German utterances translated to English) may be provided to the updated model and a feature may be identified. One or more instructions may be sent to a user device to execute a set of instructions associated with the feature.
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公开(公告)号：US10937413B2
公开(公告)日：2021-03-02
申请号：US16139891
申请日：2018-09-24
Applicant: Amazon Technologies, Inc.
Inventor： Jonathan B. Feinstein , Alok Verma , Amina Shabbeer , Brandon Scott Durham , Catherine Breslin , Edward Bueche , Fabian Moerchen , Fabian Triefenbach , Klaus Reiter , Toby R. Latin-Stoermer , Panagiota Karanasou , Judith Gaspers
Abstract: Techniques are provided for training a target language model based at least in part on data associated with a reference language model. For example, language data utilized to train an English language model may be translated and provided as training data to train a German language model to recognize utterances provided in German. By utilizing the techniques herein, the efficiency of training a new language model may be improved due at least in part to replacing labor-intensive operations conventionally performed by specialized personnel with machine-generated data. Additionally, techniques discussed herein provide for reducing the time required for training a new language model by leveraging information associated with utterances of one language to train the new language model associated with a different language.
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6.发明申请公开(公告)号：US20150188874A1
公开(公告)日：2015-07-02
申请号：US14644470
申请日：2015-03-11
Applicant: Amazon Technologies, Inc.
Inventor： Jonathan B. Feinstein
IPC: H04L12/58
Abstract: Disclosed are various embodiments for identifying a message deliverability problem. Responses are received from one or more client devices that include information that identifies whether a respective response is associated with a first group of messages or a second group of messages. A message deliverability problem for at least one of the first group of messages or the second group of messages may be identified based at least in part on the information included in at least a portion of the plurality of responses.
Abstract translation: 公开了用于识别消息传送能力问题的各种实施例。 从一个或多个客户端设备接收响应，该客户端设备包括标识相应响应是否与第一组消息或第二组消息相关联的信息。 可以至少部分地基于包括在多个响应的至少一部分中的信息来识别针对第一组消息或第二组消息中的至少一个的消息传递性问题。
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