A survey of cross-lingual word embedding models
Cross-lingual representations of words enable us to reason about word meaning in
multilingual contexts and are a key facilitator of cross-lingual transfer when develo** …
multilingual contexts and are a key facilitator of cross-lingual transfer when develo** …
Adversarial training for unsupervised bilingual lexicon induction
Word embeddings are well known to capture linguistic regularities of the language on which
they are trained. Researchers also observe that these regularities can transfer across …
they are trained. Researchers also observe that these regularities can transfer across …
Earth mover's distance minimization for unsupervised bilingual lexicon induction
Cross-lingual natural language processing hinges on the premise that there exists
invariance across languages. At the word level, researchers have identified such invariance …
invariance across languages. At the word level, researchers have identified such invariance …
[KİTAP][B] Cross-lingual word embeddings
The majority of natural language processing (NLP) is English language processing, and
while there is good language technology support for (standard varieties of) English, support …
while there is good language technology support for (standard varieties of) English, support …
Adversarial training for multi-task and multi-lingual joint modeling of utterance intent classification
This paper proposes an adversarial training method for the multi-task and multi-lingual joint
modeling needed for utterance intent classification. In joint modeling, common knowledge …
modeling needed for utterance intent classification. In joint modeling, common knowledge …
Graph-based bilingual word embedding for statistical machine translation
Bilingual word embedding has been shown to be helpful for Statistical Machine Translation
(SMT). However, most existing methods suffer from two obvious drawbacks. First, they only …
(SMT). However, most existing methods suffer from two obvious drawbacks. First, they only …
[PDF][PDF] 基于非**行语料的双语词典构建
张檬， 刘洋， 孙茂松 - **科学: 信息科学, 2018 - nlp.csai.tsinghua.edu.cn
基于非**行语料的双语词典构建 Page 1 基于非**行语料的双语词典构建 张檬, 刘洋and 孙
茂松 Citation: **科学: 信息科学; doi: 10.1360/N112017-00256 View online: http://engine.scichina.com/doi/10.1360/N112017-00256 …
茂松 Citation: **科学: 信息科学; doi: 10.1360/N112017-00256 View online: http://engine.scichina.com/doi/10.1360/N112017-00256 …
Sentence Alignment with Parallel Documents Facilitates Biomedical Machine Translation
Objective: Today's neural machine translation (NMT) can achieve near human-level
translation quality and greatly facilitates international communications, but the lack of …
translation quality and greatly facilitates international communications, but the lack of …
[PDF][PDF] 融合 EMD 最小化双语词典的汉—越无监督神经机器翻译
薛明亚， 余**涛， 文永华， 于志** - 中文信息学报, 2021 - jcip.cipsc.org.cn
神经机器翻译在**行语料充足的任务中能取得很好的效果, 然而对于资源稀缺型语种的翻译任务
则往往效果不佳. 汉语和越南语之间没有大规模的**行语料库, 在这项翻译任务中 …
则往往效果不佳. 汉语和越南语之间没有大规模的**行语料库, 在这项翻译任务中 …
複数言語複数タスクを扱う発話意図推定モデリングのための敵対的学習の検討
増村亮， 篠原雄介， 東中竜一郎… - 研究報告自然言語処理 …, 2018 - ipsj.ixsq.nii.ac.jp
論文抄録 本研究では, 音声対話システムを構築する上で必要となる発話意図推定モジュール
について, 複数の言語のデータ, および, 複数の意図推定タスクのデータを同時に用いてモデル化する …
について, 複数の言語のデータ, および, 複数の意図推定タスクのデータを同時に用いてモデル化する …