Multilingual Training of Crosslingual Word Embeddings

被引：0

作者：

Duong, Long ^{[1
]}

Kanayama, Hiroshi ^{[2
]}

Ma, Tengfei ^{[3
]}

Bird, Steven ^{[1
,4
]}

Cohn, Trevor ^{[1
]}

机构：

[1] Univ Melbourne, Dept Comp & Informat Syst, Melbourne, Vic, Australia

[2] IBM Res Tokyo, Tokyo, Japan

[3] IBM TJ Watson Res Ctr, Ossining, NY USA

[4] Univ Calif Berkeley, Int Comp Sci Inst, Berkeley, CA USA

来源：

15TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (EACL 2017), VOL 1: LONG PAPERS | 2017年

基金：

美国国家科学基金会;

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Crosslingual word embeddings represent lexical items from different languages using the same vector space, enabling crosslingual transfer. Most prior work constructs embeddings for a pair of languages, with English on one side. We investigate methods for building high quality crosslingual word embeddings for many languages in a unified vector space. In this way, we can exploit and combine information from many languages. We report competitive performance on bilingual lexicon induction, monolingual similarity and crosslingual document classification tasks.

引用

页码：894 / 904

页数：11

共 50 条

[1] Unsupervised Multilingual Word Embeddings
Chen, Xilun
Cardie, Claire
2018 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2018), 2018, : 261 - 270
[2] Morphological Segmentation to Improve Crosslingual Word Embeddings for Low Resource Languages
Chimalamarri, Santwana
Sitaram, Dinkar
Jain, Ashritha
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2020, 19 (05)
[3] Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs
Heyman, Geert
Verreet, Bregt
Vulic, Ivan
Moens, Marie-Francine
2019 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES (NAACL HLT 2019), VOL. 1, 2019, : 1890 - 1902
[4] MULTILINGUAL AND CROSSLINGUAL SPEECH RECOGNITION USING PHONOLOGICAL-VECTOR BASED PHONE EMBEDDINGS
Zhu, Chengrui
An, Keyu
Zheng, Huahuan
Ou, Zhijian
2021 IEEE AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING WORKSHOP (ASRU), 2021, : 1034 - 1041
[5] GlobalTrait: Personality Alignment of Multilingual Word Embeddings
Bin Siddique, Farhad
Bertero, Dario
Fung, Pascale
THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019, : 7015 - 7022
[6] Crosslingual interrogation of multilingual catalogs
Fluhr, C
Schmit, D
Andrieux, C
Ortet, P
Bisson, F
Combet, V
RESEARCH AND ADVANCED TECHNOLOGY FOR DIGITAL LIBRARIES, PROCEEDINGS, 1999, 1696 : 294 - 310
[7] NORMA: Neighborhood Sensitive Maps for Multilingual Word Embeddings
Nakashole, Ndapa
2018 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2018), 2018, : 512 - 522
[8] Multilingual Financial Word Embeddings for Arabic, English and French
Zmandar, Nadhem
El-Haj, Mahmoud
Rayson, Paul
2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2021, : 4584 - 4589
[9] Multilingual Jointly Trained Acoustic and Written Word Embeddings
Hu, Yushi
Settle, Shane
Livescu, Karen
INTERSPEECH 2020, 2020, : 1052 - 1056
[10] Joint learning of frequency and word embeddings for multilingual readability assessment
Le, Dieu-Thu
Nguyen, Cam-Tu
Wang, Xiaoliang
NATURAL LANGUAGE PROCESSING TECHNIQUES FOR EDUCATIONAL APPLICATIONS, 2018, : 103 - 107

← 1 2 3 4 5 →